04_-_Metal_NPs/Metal_NPs_Lecture.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Металлические наночастицы"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Содержание\n",
    "- [Конспект лекции](#%D0%9A%D0%BE%D0%BD%D1%81%D0%BF%D0%B5%D0%BA%D1%82-%D0%BB%D0%B5%D0%BA%D1%86%D0%B8%D0%B8)\n",
    "   - [Оптические свойства металлических наночастиц](#%D0%9E%D0%BF%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D0%B5-%D1%81%D0%B2%D0%BE%D0%B9%D1%81%D1%82%D0%B2%D0%B0-%D0%BC%D0%B5%D1%82%D0%B0%D0%BB%D0%BB%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D1%85-%D0%BD%D0%B0%D0%BD%D0%BE%D1%87%D0%B0%D1%81%D1%82%D0%B8%D1%86)\n",
    "   - [Эффект усиления электромагнитного поля вблизи плазмонных наночастиц](#%D0%AD%D1%84%D1%84%D0%B5%D0%BA%D1%82-%D1%83%D1%81%D0%B8%D0%BB%D0%B5%D0%BD%D0%B8%D1%8F-%D1%8D%D0%BB%D0%B5%D0%BA%D1%82%D1%80%D0%BE%D0%BC%D0%B0%D0%B3%D0%BD%D0%B8%D1%82%D0%BD%D0%BE%D0%B3%D0%BE-%D0%BF%D0%BE%D0%BB%D1%8F-%D0%B2%D0%B1%D0%BB%D0%B8%D0%B7%D0%B8-%D0%BF%D0%BB%D0%B0%D0%B7%D0%BC%D0%BE%D0%BD%D0%BD%D1%8B%D1%85-%D0%BD%D0%B0%D0%BD%D0%BE%D1%87%D0%B0%D1%81%D1%82%D0%B8%D1%86)\n",
    "      - [Гигантское комбинационное рассеяние](#%D0%93%D0%B8%D0%B3%D0%B0%D0%BD%D1%82%D1%81%D0%BA%D0%BE%D0%B5-%D0%BA%D0%BE%D0%BC%D0%B1%D0%B8%D0%BD%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D0%BE%D0%B5-%D1%80%D0%B0%D1%81%D1%81%D0%B5%D1%8F%D0%BD%D0%B8%D0%B5)\n",
    "   - [Физические методы синтеза металлических наночастиц](#%D0%A4%D0%B8%D0%B7%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D0%B5-%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B-%D1%81%D0%B8%D0%BD%D1%82%D0%B5%D0%B7%D0%B0-%D0%BC%D0%B5%D1%82%D0%B0%D0%BB%D0%BB%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D1%85-%D0%BD%D0%B0%D0%BD%D0%BE%D1%87%D0%B0%D1%81%D1%82%D0%B8%D1%86)\n",
    "   - [Хмические методы синтеза металлических наночастиц](#%D0%A5%D0%BC%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D0%B5-%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B-%D1%81%D0%B8%D0%BD%D1%82%D0%B5%D0%B7%D0%B0-%D0%BC%D0%B5%D1%82%D0%B0%D0%BB%D0%BB%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D1%85-%D0%BD%D0%B0%D0%BD%D0%BE%D1%87%D0%B0%D1%81%D1%82%D0%B8%D1%86)\n",
    "   - [Лабораторные практики: примеры коллоидного синтеза наночастиц благородных металлов](#%D0%9B%D0%B0%D0%B1%D0%BE%D1%80%D0%B0%D1%82%D0%BE%D1%80%D0%BD%D1%8B%D0%B5-%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B8%3A-%D0%BF%D1%80%D0%B8%D0%BC%D0%B5%D1%80%D1%8B-%D0%BA%D0%BE%D0%BB%D0%BB%D0%BE%D0%B8%D0%B4%D0%BD%D0%BE%D0%B3%D0%BE-%D1%81%D0%B8%D0%BD%D1%82%D0%B5%D0%B7%D0%B0-%D0%BD%D0%B0%D0%BD%D0%BE%D1%87%D0%B0%D1%81%D1%82%D0%B8%D1%86-%D0%B1%D0%BB%D0%B0%D0%B3%D0%BE%D1%80%D0%BE%D0%B4%D0%BD%D1%8B%D1%85-%D0%BC%D0%B5%D1%82%D0%B0%D0%BB%D0%BB%D0%BE%D0%B2)\n",
    "      - [Коллоидный синтез наночастиц золота](#%D0%9A%D0%BE%D0%BB%D0%BB%D0%BE%D0%B8%D0%B4%D0%BD%D1%8B%D0%B9-%D1%81%D0%B8%D0%BD%D1%82%D0%B5%D0%B7-%D0%BD%D0%B0%D0%BD%D0%BE%D1%87%D0%B0%D1%81%D1%82%D0%B8%D1%86-%D0%B7%D0%BE%D0%BB%D0%BE%D1%82%D0%B0)\n",
    "      - [Коллоидный синтез наночастиц серебра восстановлением боргидридом](#%D0%9A%D0%BE%D0%BB%D0%BB%D0%BE%D0%B8%D0%B4%D0%BD%D1%8B%D0%B9-%D1%81%D0%B8%D0%BD%D1%82%D0%B5%D0%B7-%D0%BD%D0%B0%D0%BD%D0%BE%D1%87%D0%B0%D1%81%D1%82%D0%B8%D1%86-%D1%81%D0%B5%D1%80%D0%B5%D0%B1%D1%80%D0%B0-%D0%B2%D0%BE%D1%81%D1%81%D1%82%D0%B0%D0%BD%D0%BE%D0%B2%D0%BB%D0%B5%D0%BD%D0%B8%D0%B5%D0%BC-%D0%B1%D0%BE%D1%80%D0%B3%D0%B8%D0%B4%D1%80%D0%B8%D0%B4%D0%BE%D0%BC)\n",
    "   - [Применение](#%D0%9F%D1%80%D0%B8%D0%BC%D0%B5%D0%BD%D0%B5%D0%BD%D0%B8%D0%B5)\n",
    "      - [Наночастицы интерметаллидов](#%D0%9D%D0%B0%D0%BD%D0%BE%D1%87%D0%B0%D1%81%D1%82%D0%B8%D1%86%D1%8B-%D0%B8%D0%BD%D1%82%D0%B5%D1%80%D0%BC%D0%B5%D1%82%D0%B0%D0%BB%D0%BB%D0%B8%D0%B4%D0%BE%D0%B2)\n",
    "- [Упражнения и задачи](#%D0%A3%D0%BF%D1%80%D0%B0%D0%B6%D0%BD%D0%B5%D0%BD%D0%B8%D1%8F-%D0%B8-%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%D0%B8)\n",
    "- [Литература](#%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Конспект лекции\n",
    "## Оптические свойства металлических наночастиц\n",
    "\n",
    "В электронных спектрах поглощения металлических наночастиц доминируют полосы поглощения поверхностных плазмонов. *Плазмон* — это коллективные колебания электронов, возбуждаемые переменным электромагнитным полем, относительно ионного остова с определенной резонансной частотой $\\omega_\\text{p}$, называемой плазмонной:\n",
    "\n",
    "$$\n",
    "\\omega_\\text{p} = \\sqrt{\\frac{ne^2}{m_e\\varepsilon_\\text{0}}},\n",
    "$$\n",
    "\n",
    "где $n$ — концентрация электронов, $m_e$ — эффективная масса электрона.\n",
    "\n",
    "Если частота внешнего излучения больше $\\omega_\\text{p}$, электроны совершают колебания и на данных частотах металл прозрачен для внешнего излучения. При частотах внешнего излучения меньше $\\omega_\\text{p}$ электроны совершают колебания противоположно полю внешнего излучения, тем самым вызывая отражение на данных частотах. В случае наночастиц движение электронов пространственно ограничено по всем трем направлениям, что при взаимодействии металлической наночастицы с внешним излучением приводит к образованию локализованного плазмона. \n",
    "\n",
    "При условии $\\lambda \\gg r$ можно считать, что электромагнитное поле постоянно вблизи частицы. При воздействии внешнего поля на частицу электроны проводимости смещаются к границе частицы в направлении, противоположном направлению поля. В следствие того, что электроны пространственно ограничены, отрицательный заряд будет накапливаться на одной стороне частицы, а положительный — на другой, создавая таким образом электрический диполь, поле которого будет направлено противоположно внешнему полю. Данное поле будет вынуждать электроны вернуться в исходное положение, в результате чего будут происходит колебания электронов.\n",
    "\n",
    "При колебаниях электроны рассеиваются на границах частицы и на ионах решетки, из-за чего теряют свою энергию. Чтобы восполнить эту энергию, электроны поглощают энергию внешнего поля. Плазмонный резонанс сопровождается резонансным поглощением, которое можно зафиксировать, измеряя спектр оптической плотности.\n",
    "\n",
    "ЛПР описывается поперечным сечением экстинкции $C_\\text{ext}$, которое для металлической частицы сферической формы имеет вид:\n",
    "\n",
    "$$\n",
    "C_\\text{ext} = \\frac{24\\pi^2 r^3 \\varepsilon_\\text{m}^{3/2}}{\\lambda} \\frac{\\varepsilon_\\text{i}}{(\\varepsilon_\\text{r} + 2\\varepsilon_\\text{m})^2 + \\varepsilon_\\text{i}^2}.\n",
    "$$\n",
    "\n",
    "где $\\varepsilon_\\text{m}$ — относительная диэлектрическая проницаемость среды, $\\varepsilon_\\text{r}$ — действительная часть диэлектрической проницаемости металла, $\\varepsilon_\\text{i}$ — мнимая часть диэлектрической проницаемости металла.\n",
    "\n",
    "Резонансное увеличение сечения экстинкции наблюдается при следующем условии:\n",
    "\n",
    "$$\n",
    "\\varepsilon_\\text{r} = -2\\varepsilon_\\text{m}.\n",
    "$$\n",
    "\n",
    "Чтобы в частице поддерживался заметный плазмонный резонанс, $\\varepsilon_\\text{i}$ должна быть минимальна. Зависимость действительной части диэлектрической проницаемости от частоты описывается выражением\n",
    "\n",
    "$$\n",
    "\\varepsilon_\\text{r} = 1 - \\frac{\\omega^2_\\text{p}}{\\omega^2}.\n",
    "$$\n",
    "\n",
    "Приравняв два последних выражения, получаем\n",
    "\n",
    "$$\n",
    "\\omega_\\text{max} = \\frac{\\omega_\\text{p}}{\\sqrt{1 + 2\\varepsilon_\\text{m}}}.\n",
    "$$\n",
    "\n",
    "Рассчитаем спектры компонент диэлектрической проницаемости серебра в диапазоне длин волн 200—1000 нм по данным о спектрах действительной и мнимной компонент показателя преломления."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '../Data/refractiveindex/'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-15-f9c110149d62>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcsv\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'../Data/refractiveindex/'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../Data/refractiveindex/'"
     ]
    }
   ],
   "source": [
    "%pwd\n",
    "\n",
    "os.getcwd()\n",
    "\n",
    "import os\n",
    "import csv\n",
    "\n",
    "os.chdir('../Data/refractiveindex/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "for entry in os.scandir():\n",
    "    if entry.is_file() and 'Ag' in entry.name:\n",
    "        Ag_path = entry.name\n",
    "    if entry.is_file() and 'H2O' in entry.name:\n",
    "        H2O_path = entry.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f888c835e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def wl_nk(path):\n",
    "    '''Считывает файл с данными формата с сайта refractiveindex.info,\n",
    "    возвращает таблицу значений вида длина волны - n - k.'''\n",
    "    data = np.genfromtxt(path, dtype=float, delimiter=',', names=True) \n",
    "    wl_n = data[:data.size//2]\n",
    "    wl_k = data[data.size//2+1:]\n",
    "    wl_n = np.array([list(wln) for wln in wl_n])\n",
    "    wl_k = np.array([list(wlk) for wlk in wl_k])\n",
    "    if np.array_equal(wl_n[:,0], wl_k[:,0]):\n",
    "        return np.hstack((wl_n, wl_k[:, 1:2]))\n",
    "    \n",
    "\n",
    "def wl_eps(path):\n",
    "    '''Преобразует табличные спектры компонент показателя преломления\n",
    "    к спектрам компонент диэлектрической проницаемости'''\n",
    "    wlnk = wl_nk(path)\n",
    "    wl, n, k = wlnk[:, 0], wlnk[:, 1], wlnk[:, 2]\n",
    "    eps = (n + 1j*k)**2\n",
    "    re_eps = np.real(eps)\n",
    "    im_eps = np.imag(eps)\n",
    "    return np.stack([wl, re_eps, im_eps], axis=1)\n",
    "\n",
    "def show_eps_spectra(path):\n",
    "    eps = wl_eps(path)\n",
    "    plt.plot(eps[:, 0]*1000, eps[:, 1], label=\"$\\epsilon'$\")\n",
    "    plt.plot(eps[:, 0]*1000, eps[:, 2], label=\"$\\epsilon''$\")\n",
    "    plt.xlabel('$\\lambda$, нм ')\n",
    "    plt.ylabel(\"$\\epsilon', \\epsilon''$\")\n",
    "    plt.legend()\n",
    "\n",
    "\n",
    "show_eps_spectra(Ag_path)\n",
    "plt.xlim([200, 1000])\n",
    "plt.ylim([-40, 5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Как видно, действительная часть диэлектрической проницаемости серебра отрицательна в видимом диапазоне, что означает возможность выполнения условия резонанса, при этом мнимая часть диэлектрической проницаемости мала. В качестве среды рассмотрим дистилированную воду. Мнимая составляющая диэлектрической проницаемости в видимом диапазоне равна нулю, действительная составляющая имеет положительное значение менее 2."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f888c7e2be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_eps_spectra(H2O_path)\n",
    "plt.xlim([200, 1000])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Из условия резонанса видно, что положение плазмонного резонанса определяется также диэлектрической проницаемостью окружающей среды. Диэлектрическая среда поляризуется под воздействием поля, в результате чего на границе металл/диэлектрик накапливается заряд, частично компенсирующий заряд на границах частицы, что приводит к уменьшению создаваемого ей поля. Чем больше диэлектрическая проницаемость среды, тем больше компенсация заряда и тем меньше поле, создаваемое частицей. Поэтому при увеличении диэлектрической проницаемости среды, окружающей металлическую частицу, происходит смещение максимума плазмонного резонанса в длинноволновую область."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сравним влияние различных параметров на спектр экстинкции металлических наночастиц\n",
    "* размер наночастиц\n",
    "* материал наночастиц\n",
    "* материал дисперсионной среды"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.interpolate import interp1d\n",
    "\n",
    "def C_ext_spectra(r, metal, medium, label):\n",
    "    '''Находит спектр экстинкции плазмонной наночастицы для переданных материалов.'''\n",
    "    \n",
    "    # считывание табличных спектров диэлектрической проницаемости\n",
    "    for entry in os.scandir():\n",
    "        if entry.is_file() and metal in entry.name:\n",
    "            met_wl_eps = wl_eps(entry.name)\n",
    "        if entry.is_file() and medium in entry.name:\n",
    "            med_wl_eps = wl_eps(entry.name)\n",
    "    met_wl, met_re_eps, met_im_eps = met_wl_eps[:, 0], met_wl_eps[:, 1], met_wl_eps[:, 2]\n",
    "    med_wl, med_re_eps, med_im_eps = med_wl_eps[:, 0], med_wl_eps[:, 1], med_wl_eps[:, 2]\n",
    "    \n",
    "    # нахождение интерполяционных функций с кубическими сплайнами\n",
    "    met_re_eps = interp1d(met_wl, met_re_eps, kind='cubic')\n",
    "    met_im_eps = interp1d(met_wl, met_im_eps, kind='cubic')\n",
    "    med_re_eps = interp1d(med_wl, med_re_eps, kind='cubic')\n",
    "    \n",
    "    # определение диапазона, на котором возможен адекватный расчет\n",
    "    wl_min = max(np.min(met_wl), np.min(med_wl))   \n",
    "    wl_max = min(np.max(met_wl), np.max(med_wl))\n",
    "    wl = np.linspace(wl_min, wl_max, 100000)\n",
    "    \n",
    "    # расчетная формула\n",
    "    C = 24*np.pi**2*r**3/wl/1e6  # данные в файлах приведены в мкм \n",
    "    C = C*med_re_eps(wl)**1.5*met_im_eps(wl)\n",
    "    C = C/((met_re_eps(wl) + 2*med_re_eps(wl))**2 + met_im_eps(wl)**2)\n",
    "    \n",
    "    plt.xlabel('$\\lambda$, нм')\n",
    "    plt.ylabel(\"$C_{ext}/C^{max}_{ext}$\")\n",
    "    plt.xlim([200, 1000])\n",
    "    plt.plot(wl*1000, C/max(C), label=label)\n",
    "    return wl, C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f88857a1048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for metal in ['Ag', 'Au']:\n",
    "    C_ext_spectra(10e-9, metal, 'H2O', metal)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:27: RuntimeWarning: invalid value encountered in power\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f888570b160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for medium in ['H2O', 'SiO2', 'Al2O3', 'TiO2']:\n",
    "    C_ext_spectra(10e-9, 'Ag', medium, medium)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Плазмонный резонанс наблюдается у многих металлов — в особенности у металлов с наименьшим удельным сопротивлением — серебра, золота, меди и алюминия. Особый интерес представляет изучение ЛПР серебрянных наночастиц, так как серебро обладает наибольшими тепло- и электропроводностью среди данных материалов, а также обладает наиболее сильным резонансом. Наблюдение у частиц серебра сильного плазмонного резонанса объясняется двумя причинами. Во-первых, сила ПР может быть описана при помощи фактора качества\n",
    "\n",
    "$$\n",
    "Q = \\dfrac{w}{2\\varepsilon_\\text{i}^2}\\dfrac{d\\varepsilon_\\text{r}}{dw}.\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd56a193a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def Q_spectra(metal):\n",
    "    # считывание табличных спектров диэлектрической проницаемости\n",
    "    for entry in os.scandir():\n",
    "        if entry.is_file() and metal in entry.name:\n",
    "            met_wl_eps = wl_eps(entry.name)\n",
    "    met_wl, met_re_eps, met_im_eps = met_wl_eps[:, 0], met_wl_eps[:, 1], met_wl_eps[:, 2]\n",
    "   \n",
    "    omega = 2*np.pi*3e8/met_wl/1e-6\n",
    "    D = np.diff(met_re_eps)/np.diff(omega)\n",
    "    Q = omega[1:]/(2*met_im_eps[1:]**2)*D\n",
    "    plt.xlabel('$\\omega$')\n",
    "    plt.ylabel(\"$Q$\")\n",
    "    plt.plot(omega[1:], Q, label=metal)\n",
    "\n",
    "for metal in ['Ag', 'Au', 'Cu']:\n",
    "    Q_spectra(metal)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Серебро обладает наибольшим $Q$ среди данных металлов. Во-вторых, важную роль в тушении ПР играют межзонные переходы. В случае серебра энергии, соответствующие межзонным переходам больше энергий ПР, что приводит к минимальному тушению плазмонов. Для серебра начало межзонных переходов можно наблюдать в спектре экстинкции как небольшое увеличение поглощения, начиная примерно с 330 нм. У золотых частиц ПР наблюдается на длине волны 530 нм, что очень близко к краю области межзонных переходов. У частиц меди наблюдается самый слабый ПР среди перечисленных металлов, так как он перекрывается с областью межзонных переходов.\n",
    "\n",
    "Как было упомянуто ранее, положение плазмонного резонанса определяется также размерами и геометрией частиц. Плазмонными свойствами могут обладать как сферические частицы, так и частицы, имеющие более сложную геометрию, такие как треугольные призмы, кубические частицы и т.:д., в том числе гибридные структуры — оболочки металла на поверхности сферической частицы другого материала. В зависимости от геометрии частиц могут проявляться дополнительные частоты ЛПР, а также смещение основной частоты. Так, в случае оболочечных структур, меняя их геометрию, можно получить ЛПР в широкой области видимого и инфракрасного излучения. При уменьшении симметрии частицы увеличивается число пиков ЛПР, что связано с тем, что при более низкой симметрии структуры у электронов появляется возможность сместиться более, чем в одном направлении. Наличие острых углов в геометрии частицы смещает ЛПР в длинноволновую область, так как увеличивается разделение заряда и уменьшается восстанавливающая сила колебаний. По аналогичной причине ЛПР смещается в длинноволновую область при увеличении размера сферических частиц. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Эффект усиления электромагнитного поля вблизи плазмонных наночастиц\n",
    "\n",
    "При плазмонном резонансе металлической наночастицы происходит усиление электромагнитного поля в ближнем поле частицы по сравнению с полем падающей волны. Рассмотрим сферические частицы радиусом $r$, на которые падает поляризованный по оси $z$ свет с длиной волны $\\lambda$. Решение для ближнего электромагнитного поля частицы может быть записано следующим образом\n",
    "\n",
    "$$\n",
    "E_\\text{out} = E_0 \\vec{z} - \\left[\\frac{\\varepsilon - \\varepsilon_\\text{m}}{\\varepsilon + 2\\varepsilon_\\text{m}}\\right] r^3 E_0 \\cdot \\left[\\frac{\\vec{z}}{l^3} - \\frac{3z}{l^5}(x \\vec{x} + y \\vec{y} + z \\vec{z})\\right],\n",
    "$$\n",
    "\n",
    "где $E_0$ — амплитуда падающего электрического поля, $\\varepsilon$ — диэлектрическая проницаемость металлической наночастицы, $\\vec{x}, \\vec{y}, \\vec{z}$ — единичные векторы, $l$ — радиус-вектор положения частицы в пространстве.\n",
    "\n",
    "Так как интенсивность возбуждения флуорофора пропорциональна квадрату интенсивности электромагнитного поля, происходит усиление люминесценции, так как флуорофоры будут поглощать больше света. При этом максимальное усиление достигается, если энергия ЛПР равна энергии поглощения флуорофора. Кроме того металлические наночастицы могут изменять соотношение скоростей излучательных и безызлучательных переходов флуорофора, влияя на его квантовый выход и время жизни носителя заряда в возбужденном состоянии.\n",
    "\n",
    "Однако при слишком малых расстояниях между плазмонной частицей и люминесцирующим объектом происходит ослабление люминесценции до исходного или даже меньшего уровня. Одна из причин уменьшения интенсивности фотолюминесценции --- носитель заряда из фотовозбужденной пары электрон-дырка в двухуровневой структуре может туннелировать и быть захвачен металлической наночастицей, что приводит к безызлучательной рекомбинации. Увеличения потенциального барьера между флуорофором и металлической наночастицей и соответствующего снижения вероятности туннелирования заряда добиваются изменением толщины разделяющего слоя (спейсера). Но при этом эффект усиления носит ближнепольный характер и быстро спадает при увеличения расстояния от плазмонной частицы. Таким образом, существует некоторая оптимальная толщина спейсера $h_\\text{opt}$ (обычно порядка нескольких нм), при которой будет наблюдаться наибольшее усиление."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Гигантское комбинационное рассеяние\n",
    "\n",
    "Прежде чем говорить о гигантском комбинационном рассеянии света (ГКР), напомним о явлении традиционного [комбинационного рассеяния](https://ru.wikipedia.org/wiki/Комбинационное_рассеяние_света) (КР) света, называемого еще рамановским рассеянием. Явление КР света заключается в появлении в спектре света, рассеянного средой при ее возбуждении монохроматической накачкой, новых спектральных компонент, таких, что разности частот этих спектральных линий в спектре КР, называемых стоксовыми $\\omega_{st, i}$ и антистоксовыми $\\omega_{ast, i}$ и частоты возбуждающего света $\\omega_L$ совпадают с частотами внутримолекулярных колебаний $\\Omega_i$, набор которых, в свою очередь, является однозначной характеристикой молекул среды. При этом $\\omega_{st, i} = \\omega_L - \\Omega_i$ и $\\omega_{st, i} = \\omega_L + \\Omega_i$.\n",
    "\n",
    "Интенсивность рассеянного света определяется соответствующими молекулярными восприимчивостями и числом молекул, попадающих в объем рассеяния (которое, в свою очередь, зависит от плотности вещества, то есть и от его агрегатного состояния). Типичное отношение интенсивности стоксовой компоненты к интенсивности подающего излучения в конденсированных средах (в жидкостях и твердых телах) составляет $\\dfrac{I(\\omega_{st})}{I(\\omega_L)} = 10^{-6}$, что позволяет считать КР весьма слабым эффектом.\n",
    "\n",
    "Малость вероятности процесса КР делает его наблюдение даже при исследовании конденсированной фазы достаточно сложной задачей, требующей современных лазерных источников и систем счета фотонов для регистрации рассеянного излучения. Кроме того, КР является фантастически эффективным инструментом исследования строения молекул, поскольку набор частот внутримолекулярных колебаний однозначно связан со структурой молекул и внутримолекулярным взаимодействием. Это заставляет думать о применении КР для исследования систем с малым числом молекул в объеме рассеяния, например в молекулярных пучках или моно- и субмонослоях молекул, адсорбированных\n",
    "на поверхности. В последнем случае грубые оценки показывают, что число участвующих в процессе рассеяния молекул на шесть-семь порядков меньше, чем для\n",
    "твердого тела или жидкости. Тогда для монослоя адсорбата $\\dfrac{I(\\omega_{st})}{I(\\omega_L)} = 10^{-12}-10^{-13}$.\n",
    "\n",
    "Однако идея исследования адсорбатов методом КР-спектроскопии была настолько привлекательной, что экспериментаторы пытались разными ухищрениями увеличить регистрируемый сигнал КР. В 1974 г. английский электрохимик М. Флейшман решил увеличить эффективное число молекул, участвующих в рассеянии от монослоя, увеличив площадь поверхности при сохранении площади, освещаемой излучением накачки. Для этого он прошероховатил поверхность серебра в электролите (в водном растворе KCl) методом анодного травления, а затем там же в электрохимической ячейке адсорбировал на разросшуюся поверхность серебра монослой молекул пиридина $\\text{C$_5$H$_5$N}$. М. Флейшману легко удалось наблюдать спектр КР адсорбированных молекул, что он интерпретировал как следствие возрастания эффективной площади монослоя. Однако в конце 1970-х годов “вдруг” стало понятно, что что-то здесь не так: регистрируемая интенсивность КР по аккуратным оценкам возрастала в $10^6-10^7$ раз, в то время как площадь разрыхленной анодным травлением поверхности серебряного электрода увеличивалась только на порядок. Это говорило о том, что интерпретация М. Флейшмана его собственных экспериментов неверна (или неполна, по крайней мере) и за наблюдаемым усилением КР может стоять новый нетривиальный эффект, который и был назван позднее гигантским КР.\n",
    "\n",
    "![](Figs/raman.png)\n",
    "\n",
    "*Рис. а – механизм усиления при возбуждении локальных поверхностных плазмонов. Металлическая сфера радиуса $R$ с диэлектрической проницаемостью $\\varepsilon_{met}(\\omega)$ моделирует коллоидную частицу или элемент шероховатой поверхности. Локальное поле $E_{loc}$ резонансно возрастает при частоте $\\omega_{res}$, такой, что $\\varepsilon_{met}(\\omega_{res}) = -2$; б – механизм усиления при возбуждении поверхностных плазмонов-поляритонов. Поверхностная волна распространяется вдоль оси с действительным волновым вектором $\\vec{k}_z$ , а ее амплитуда экспоненциально затухает в обе стороны от поверхности металла, так как компонента волнового вектора $k_x$ — мнимая; в – эффект громоотвода; г – адсорбционно-молекулярный механизм резонансного возрастания рамановской поляризуемости молекулы, представленной двухуровневой системой. Перенос электрона показан на вставке. Электронный спектр зоны проводимости металла проиллюстрирован уровнем Ферми $E_F$, ниже которого все энергетические состояния заполнены электронами проводимости [Акципетров, 2001]*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Физические методы синтеза металлических наночастиц\n",
    "\n",
    "- **Конденсация в инертном газе**. Металлическая фольграф или иной источник металла нагреваются в керамическом тигле, находящемся в камере, наполненной инертным газом (обычно аргоном) при давлении несколько торр. Металлический пар быстро охлаждается, теряя энергию в столкновениях с атоами аргона, при этом формируются наночастицы. Таким способом получаются, например, наночастицы Fe, Fe2O3.\n",
    "- **Метод дугового разряда**. Для испарения материала используется дуга между металлическими электродами в присутствии инертного газа, в результате чего формируется плазма, при остывании которой образуются наночастицы металла. Так были получены наночастицы Ni.\n",
    "- **Лазерный пиролиз**. Газообразный прекурсор смешивается с инертным газом и нагревается непрерывным или импульсным инфракрасным CO2-лазером. Энергия поглощается либо прекурсором, либо добавляемым в смесь инертным газом сенсибилизатором, например SF6. Сильный негрев газа приводит к диссоциации прекурсора и образованию атомов металла, которые охлаждаются при столкновении с атомами инертного газа и агрегируют, формируя наночастицы.\n",
    "- **Струйный пиролиз**. Для получения наночастиц сформированные с помощью распылителя микрокапли раствора прекурсора инжектируются в горячую зону печи. Размер наночастиц зависит от температуры распылителя, относительного давления газов и температуры печи. Указанным способом были получены НЧ Cu.\n",
    "\n",
    "Заметим, что добавление соответствующих источник неметаллов или использованием вместо инертного газа смеси инертного газа с газообразным прекурсом неметалла можно получить наночастицы полупроводника.\n",
    "\n",
    "## Хмические методы синтеза металлических наночастиц\n",
    "- **Восстановление ионов металла**. Один из наиболее распространенных подходов к синтезу металлических наночастиц это восстановление металлов из их солей с ограничением роста нанокристаллов с помощью поверхностно-активных веществ  или ионов.\n",
    "    - *Восстановление боргидридом натрия*, известное с 1950-х гг., было одним из объектов исследования в [Манхэттенском проекте](https://ru.wikipedia.org/wiki/Манхэттенский_проект). Основная реакция состоит в гиролизи гедрида бора, сопровождаемом выделением водорода:\n",
    "    BH$_4^-$ + 2H$_2$O $\\rightarrow$ BO$_2^-$ + 4H$_2$.\n",
    "    - *Восстановление цитратом натрия* наиболее популярно для получения гирозолей Au. Синтез наночастиц этим методом основан на том, что золотохлористая кислота (HAuCl$_4$) при нагреве смешивается с раствором цитрата натрия (Na$_3$C$_6$H$_5$O$_7$). Возникновение у раствора характерного цвета красного вина указывает на протекание реакции восстановления. Метод также используется для получения наночастиц Pt, Ag.\n",
    "    - *Восстановление высокомолекулярными спиртами (полиолами)*, например, этиленгликолем используется для получения сравнительно крупных наночастиц с размерами от нескольких десятков нм до единиц микрометров. \n",
    "- **Фотохимический синтез**. Разложение светом металлических комплексов (фотолиз) или восстановление солей металлов за счет генерирования светом восстановителей, таких как сольватированные электроны (радиолиз). Так, например, при облучени ультрафиолетом HAuCl$_4$ в формамиде можно получить НЧ Au.\n",
    "- **Электрохимический синтез**. Метод представляет усовершенствование классического процесса электрообработки и включает следующие стадии: окислительное разложение анода, миграцию металлическию частиц на катод, восстановление ионов до нульвалентного состояния, формирование частиц за счет нуклеации и роста, остановку роста с помощью улавливающих веществ и осаждение частиц. Этим методом были получены металлические НЧ разного размера (начиная от 1—5 нм): Pd, Ni, Co, Fe, Ti, Ag и Au. При использовании двух анодов из соответствующих материалов [можно получать](https://pubs.acs.org/doi/10.1021/ja00095a051) и биметаллические частицы Pd-No, Fe-Co, Fe-Ni."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Лабораторные практики: примеры коллоидного синтеза наночастиц благородных металлов\n",
    "\n",
    "### Коллоидный синтез наночастиц золота\n",
    "\n",
    "В представленном ниже видео показан процесс цитратного синтеза наночастиц золота. В плоскодонную колбу добавляется 20 мл водного 1.0 мМ раствора HAuCl4 и перемешивается на горячей плите магнитной мешалки. К нагретому раствору добавляется 2 мл 1% раствора цитрата натрия Na3C6H5O7. Коллоидный раствор золотых наночастицы образуется в результате восстановления золота цитратом натрия. После 10 мин. нагрева раствор приобретает насыщенный пурпурный цвет.\n",
    "\n",
    "Далее, чтобы показать, что раствор — коллоидный, экспериментатор пропускает через него лазерный луч, чтобы продемонстрировать [эффект Тиндаля](https://ru.wikipedia.org/wiki/%D0%AD%D1%84%D1%84%D0%B5%D0%BA%D1%82_%D0%A2%D0%B8%D0%BD%D0%B4%D0%B0%D0%BB%D1%8F). Чтобы показать, что частицы седементационно неустойчивы, в правую из двух пробирок с золем золота добавляется раствор хлорида натрия. При этом происходит изменение цвета, связанное с агрегацией частиц."
   ]
  },
  {
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   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/urmi99jQSZY\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7f88c06eb908>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Пример цитратного коллоидного синтеза наночастиц золота.\n",
    "'''\n",
    "\n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('urmi99jQSZY')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Коллоидный синтез наночастиц серебра восстановлением боргидридом\n",
    "\n",
    "В следующем видео показан процесс синтеза наночастиц серебра при помощи восстановления боргидридом натрия."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/L-GwpAJ9MJ0\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7f88c06f5ef0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Пример боргидридного коллоидного синтеза наночастиц серебра.\n",
    "'''\n",
    " \n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('L-GwpAJ9MJ0')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Лазерная абляция."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](Figs/ablation.png)\n",
    "\n",
    "*Рис. Схемы экспериментов по генерации НЧ методом лазерной абляции мишений в жидкостях: а) вертикальный лазерный пучок облучает мишень, находящуюся в открытой чашке Петри в направлении, перпендикулярном поверхности мишени, б) в горизонатальном направлении в закрытой кювете, и в) вращающуюся мишень*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/kOy0yuWpUzU\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7f88c06eb9e8>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Иллюстрация процесса лазерной абляции на примере золота,\n",
    "серебра, титана, цинка и других металлов.\n",
    "'''\n",
    "\n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('kOy0yuWpUzU')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Применение\n",
    "\n",
    "* Биомедицина:\n",
    "    * Имиджинг: маркеры на основе эффективного рассеяния электромагнитного излучения\n",
    "    * Фототерапия: локальный разогрев частиц\n",
    "    * Биосенсоры: взаимодействие частиц в различных условиях - смещение частоты резонанса\n",
    "    * Химические сенсоры\n",
    "* Подложки для ГКР - детектирование отдельных молекул\n",
    "* Увеличение эффективности солнечных элементов\n",
    "* Поглощение излучения заданного диапазона\n",
    "* Создание супергидрофобных прокрытий\n",
    "* Локальногое изменение распространения электромагнитного поля (плазмонное усиление, плазмоника)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/YN19Z_IFVwY\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7f88c07a5780>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Плазмонные наноструктуры.\n",
    "'''\n",
    "\n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('YN19Z_IFVwY')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/r7T1nCG8QSU\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7f88c06dd4e0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Нанофотоника. Проблема больших данных и мощностей.\n",
    "Переход от электронике к фотонике, электро и магнитооптике,\n",
    "плазмонных кристаллов, создания миниатюрных источников света —\n",
    "спазеров (SPASER).\n",
    "'''\n",
    "\n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('r7T1nCG8QSU')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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o2Z9tVIuto4YF7d7lnX4DiEs8MHe2G0tG/X1KdLKWeZmYGVssjyS8EnR6kWWT0MqiuEFvPmlhD5FaSmhuQynPfAYoJ76JaaPpOjRz0FnDmwrUDRQXxyavj8KYzXZmVMELSwTwyVnfGrsmTotSe0a1lmgZrYrjEq2s9Hq06OyzrDD85YWpsTrE7SYhMenc282KlmjeTvbYjh24U1WsMjzswGBc48UWdtnWayOzy2pNhr0NXfRrdZmRrWgjVbLtX2zs4EZY1Vm1jeOVmadGsUEbKu0/oFzIcTn367m3ohogRISqDcRZCVhPDcxg2di9NSEedAR1FmKmjSALkEAD7wB94WACILfcEYSJcARixCILIAFyCAPAAITeLs5ywLEABAAiwWB4IzocRpQ6iP1h3TocFpY6qNf4hscH3ULOwxAn7LpSHSJtL6wnxpbhdKQIOJfWGdZ3FHY7yzZIchYScJXyGuimES7IMOnMSqXhESFgr+ycTpc+iL94O5fecTpc+hr682O7v5MGNne1JkUh6W7hhPrpv4dJ/wA55pkPTPcMcONf/EO9clBw1XuISbywq9xXxnGQdglUHWKTJOIh0HWKTKjiK5gjLBOAhxk1NxTNNBn3iU3Cp959TcWCfB1ajnZPkfVKOGOH6ROcenQZpN49O/MQEKMWAExFr6a/aXiMJz3rJXntZnjXWHoRNxlGcuA6+rkVV1a+Obzc9jT7ygs82s26bEcIh1bQx1UEmrqvKjOb2ZjxVy7LyL4M5nNrGJ83sTpZZL+93k/Wk/gnoz+0OFVk9O9JUpXSVMfYNjl64GJOF0Wh5rpZkU6mxHXaU5fBnuybJ0VK/IaStm3wVVfm7DLl2lsyEqKngp8ixRqkfoIOYziKxIcnX4l+i42rcQv1c3bjTW6synkPrL/btrdk5afB4Khm4NYnGUMGluhZeCpRvEdNVKSM2s6kr8uthimg8d3TrDK7YPYQdTQYakCWqYzV5vN+lsSrJmhnWpqOjQ2qOrujMse5pZmbt1ExibyvnClDR1lRhIfT5IcuzTNXslhQdWpXybTF1QJsifYiRtcpMstEBYYiZEghN486AEyO0EgSAAgXG4dkCAWIv5xYWAAC47Qke4BCJzgEYAPxg6DcY4QDcggWIJhEhn+lvq42NAkM80tv0Uf84zsH3YoWdhce1hdGVkHEvrCzj+qqP1ZWQcS+sM2wo7GgScJCdCw7JFdDVwTEFqLaRh6QRGWCFOhw2lv6HH94NAdDhdL/ANDX15tN3fyIsLO9mTHJz073DidFjHrKQ8xTnqPuGOpxj1tId65ODP6vcQoybVkKM4yDs03DesH6rrGItB1ik2q4iH3gjJ6cJAjJnZKJiFPvPsY2+8CxNdeCURG58j6pT7YY4lUm8en3CIBc5ARQAAHNTfkZTOM88HrKV2lZXnV4+NPBmlQEyrRWVlZbzKozuDNi30cV5mzlrHniVZuJOjNH7lumgqclZFJ11NJrIS2zhzJpazaX9Vb0Dk9EGIw4VnQ1LC2sppkmo7vKSnTQyoZlPQ0/AnjT1PUuadZbssdYjmdYm7Uciyr1bnR4FjGSVeI07d/7dNIkXHJuTxykrs+8Kju11XTRqnjuTp7ZVtk218Q5jODBMOZGaSjo3VNtOhgL6LHldGpWYlnJm9VSa1qyju7GwW+C4lQvswywyfYcznEqbB55Okwiaez0NVEdbm9TUq5GeGjpqWT0ENhCaydeh1NXU6qNm7OrOG7JU6RdItLhdTR0c+VbqzrHv+jReXLaN1bIrK2sV+2aXfOyfSponCZsXIOWBYaBlIshdYb1ZUTlvhnVqJ9iH3nhYgWYiZAgWBBMgWI7QAAuwZHowCMAAAAvMGo4LLnVHYTjMKLk6NUT7BnQwZ6NaClFiO0LMFM5GTI8OlbJdbskakFz48/LZGv+c2GLia+uYZnS3LaMD73P2dYxJ/REtt2VbDG248/sFZIZzpf6qP8AnGjTmZaY36NfVzF2F7sVF/YsE+q6P1ZUx8S+sL3Z/RdL6soo+JfWGdY9o7Ghx7lGH3kqPgUZNYuDpzEWznJT7hh95NAzIZ/pi+hr94NDsM/0z/Q1+8Gw3V/Igxc72ZMZkPU3cMfR8Y+8QnlmQ9Tdwx9Exb7xD/RPoLk4M5qyFG5Kq9xXnGQdmssJ6wnV/WFfgr9KWFe/SFdneG03lh2SsvJqcJGwRX3gE+8ReE17B1Kg+4L+iURG92QxxNpB6fcRqTePTuUiKEYCJ6lIsl0jpAvpuWcPbN59diZBvJVVwnE1+f8AhlPd+spMydhEn6QzbHdIuI4jrINalLG/AkKGwo3Tdcwr9400u2z3z/pqG6KD9aqH8TqozFaSZ0njqVZ9YlRr7wq4XVrpOIETmOsxcCGPDoc9lZc7p9T2zm1iUWLUEb7D66PgONxapqsFm6O+SFzNdA2e3ecy4fUvq1mk6B/+A9AYm8U8dlSqWvH2zSZFHCm32PfrgRmZnzBU7DuiM53iPC2TnsPOGdOArAzPTPs+IQqTOrEoFsWpe30yjZWvekp5aXlZVSE5bPvG6PDqSaqkZI9RHrPWGGSZ81kV11Sm36BwGk3HqqugbXu+rTq0Njj19ai+/RBxmdOcM+KVk1dUttTScHk4vIHf5kaVKzDqaOBooa2GHq7+iljhMpgS4sKGsRctjNqzcX4sLoaJuahfOE9b0Tm3pjwyqy21KzYWyeP0sR0kGf8AgsuW2PEab/O+qPKroys1vD4MDT2bgx/sZte9bnrb+0OHz5bY6yjk/nQHT4TNG8dsbwyfYfWniWMsKSZky9HfG3oFE/05DRp1r698/wDh7WsA8pYFntitLbqayptTsO+tiNUzT0uo6xpisWrbzmm6r8uaTL/TmRT2fuNlRvWmbU5AvI2G18FZGstNKlVG/bQeNDtrnDvbL6vl/OfX3CJBfZK3pF49eMiwHowsCMADvnVZLrh9Kl5472V419MmYFDdlLaCmeW5JF1a+gdFiw146E9rlrOclQQs72qdHHmq120/RlxS4ZFT5LY1MKjdVs59ajm4KCSmSJLe0ctHDdLsmhV+FRVCWybH2Cpjo4KPtbXjubidGiGhOF+pWI60uS+TiIWTOZ6i5Y01a+OQ8Zurp9VBe6+EcvKHNyCBNt9ox7IT0aKk9qjncy/THwL6uY1CvRVZlXhMs0v8C+rmNXu6v95C/sXr/VdL6uEoo96l7P8AVdL6uE5/tGVZ3zWUdjRuwvqxi8I36NfVjJrE0riyDCbxyk3MITjJoPhnmmf6Gv3g0GftGfaZ/oCt/eDYbq/kQYuV7U2MyHqruGPoeLfe4f6J5SkPVncMfQcU++Q/0T6C5ODM68qyxr3K684+t2abhL9KTat+kK/BusJVX1hCfeHrybfsleSU4SmwRn3heId+cIyaa/d+iUTBuFv1QxA/MYgtKR+cos+854sLVWkya6R+rhRyizvzz7xk1FN0k3bfyZn9XWRVMjS1bzSSP2zcYO6uL1zavO3lo6IJOO5/11R1P7Oj9DrfzByVfUzz5bppZpvtvrS6q6NXVnhvnVPQKLhbkOlhRTDsaGdl0u8jvZmyEKe5PtF1SPaw/i2G61bo+IymIqHqejvka8oKqpeXLtZebxCyxJG1ap2tYRoKBj0TMNxJVW2ZX9BzetDumKJVjocWlheNdiOqmf8A/YMPpKNeTaJM+Aq+S6Po2KL6IW96+i+dL2vHgmEY1FfTNTVS+PRPB/2xxmcuitFuaGWp/GeZcz8bxHBKlZcPqXoZk7D9VIeutEGlfD85o1pqlf0XiiR7dNN1VR/HpzUX4M6uxvsXOhPvY/i2aXeeSSWRtXHD1jzGP54Yl35Iyx7FPB2/KGh90JpCir66ShpH1lHRSavY/eZvLmS3tLktt1amwxKPpDXNrs7L69EEB6y3Ziyav0xjUvxF1BRovELnRVybJnNWhYTM3JY3YJvFlEUlM3LcpbQUdu0wDEcNuQfgQW6DkCW5CAEQmUj25bW4XGRfi+sAvc3s6qrBJtfA7vH4eHwUh6TwLFYK+mhqqZr4Z470PIVXU5b2RuE3PudMVvoZqNm2oZNZGn8E5zf+BDRxYN3urL69E2qCrOYTGPHBOlIjF2BGLIAEXiyHIeC8zemtkOyhdeQzrCZrGuOvpJrsi7Z1O6p/sqLILd6luywzJMzeOIgS/LaWUFNkXJaZzFnogjQXMVmcuENUZFtfV+OdB3uV2cNTlp4ZJeOzsFn2IVz6/wD45aqp48OiZl4n7ZQRzPPtSNshXvLVNfO/2ETqoxcZoMrO+yDYbBIZZpnfm/lzGoTuZXpb3M38Mo3d7qF/Y6Ss+q6P1cJzabzoZ/qmjZvJwnNpvMqzvm9o7He37K+rGUfnB36NfVkXaNeyltSXcjA+zlEYbdyMLq0u4QoIfcZ/pn+rv/kQmgOnMZ/pnT9nM394hM3dv8iDFyvamxOQ9Ydwv9AxT/EIf6J5Lkc9adwx9XYl/iEP9E+gWOTgyWvIUZJr3I0Zy1bs1hgvGSqvrSJhPWD9f1pT94cvJPgyMPdkrmmhSDkYw+1lH0QnMX8nUqVlldVdBhdM9VJ5bwUZNr5rKZmNz0X0KR0ELRokbPx7BHFh96i/axzN7ue3rMmtxWrqaWR+xDqJSszv0Az0GVZaBpsbjTjhdOlPS1fXJT5OkawrqTOOCVuSOVPxm452bXbcKM2QZr4PTci02I0vesfkeqH87NCeb1RFI8CVlFNq70dJtbrDWMTlpZ8l0+SGb0nK3GqZHpm1fkxRrXcrDR1vCWcNB3hVzQK16wyau8sKCa9R/SFQMtdVesKLDamzLax0OxzVnRM9jOFc96EWkmVtljp02shTYthvbjPUDaQqpYQTW7LFFBNbltYsb7gJNfCjZLJuF+rcrKu+LIy9YydWTY6nmskXWKMSdlW6RfBuEFTYlzMqPHf448iXcJdQQ81vJrBD4a3gwK5KBmH4MKXtC9uLLayk2Ca7ITBHTKgiQXeIIJiwJNlQjF1XCEBJwhSJcLj2kCke3KTFTXdbIdPmniUtA0M8DauSE5R9qVi6nhbVraV2bNcNCyueh6dzTzhixOnWeNtrw6eTmL08q5p5w1mFTLLG2s8dPBSHofAs7aOsgjljnhjZ4+khv6WM+f743NOmeuDq8HO43RN0cbiysgxWmbhnh/GPJXxeVh/GaHhzbFN7JFfeHfkfjp+MRrk/90/GOG94h+MtsFqWZrLTnK/Eo4Msas3X7EZ2eBQ22uxut3UT71dljrMJprcm0WL2qUM2LpGt1xT1+eCIbnW10qJzk6x6lVGJ6iJ8lrWOpm1fnJLVZehvjXxwgqXThdzEvzoQXV4jpqvAqd8t0eXUFLiuHRwcL3lbPXy+O4zJM78WV3NXffjz7IMuvoNzuZfpjfo2ZfJmm1SNyXdkzXSM662OJuFzzdfvKcrsXte/7FoW/hwnMxudBjr/ALMpbeE5yBzOsh1vKHco/RR+rCR7cgin6qP1ZGnfnNfCDLsmucFmuyMTZCiwl+Ziwnm5lPJ1qNZ6/iM/0z/VknrITsJ6m04bS/WK2GSL2tZCZe7q/wDkQYmXP9mbEj1z3DH1ZiX+IQ/0Tx+kx6Q7k/SXguBUNdBilV3lJPWaxNifyJ3k3LwcTX7wgCrHINxy7r1hhKbZ8xLrBGEvtCMTfpSj71h+Mk9kr4H5yaj7DCYYg3j6bxiDeM5w1ne0Mj9rwY2Q1z0PLLNDps3sNXGqpaW7Vww9JPZ4Q9DUOroIFTsxxnmDufsVsq5NZ0jTG7Y7jyutirrGNpymjoYdP7sNbgtN2e0ssbRU8Vi+OjnnLOHG66LKrx1NTC3oOeis5cHeqjtVDDNJmFNSx2yL4QysWEFeV0Q6FfgWk7F4Mqq1W86+JMXtfpsxJLU2IL+2hl6bOUMdtZI2XiNrCiDR83b5u5q6nvq6WTpGm6Q5zFqOzLcpZ4NNfAo49rbEhexULBqm7ZYt+I5uSFqaX0S9gmuyEBU4tQc9ykFHZdk6eS0qa+m57lAhBfaLItU9uTZ4iaC3gmZcl/ZcHr1fKq9oppKnVrZeknR8CPrdWN4S90lzdgDqrNatrcRXyQtFlJMc13CSrL8m0QFYFhYJTLycI3JCqgM0CXSxp48kMZ0GlDCloKyogjstTxBGbVMjVdH4T9oUn9YsNLCftrFEbpFgxCaMmOVgfoyvgmulH9ddkYpaCa2TaAm0G1UyKdH2TlcNf9ZkOqfcQDJZ5r1MUE8b1Ca+n8MhS1btwqPwbGQ8sr1wX12aJvRMGY2GTxRy06ayOaPWRujjM+YFD2Vmj/nTma6MtIUuHTR0s3TULydIj/u38enPQE7q3CfO95Y+RiT7nUYt8LoOCkzDpvHqY/504zJmSi8M9Yn84710OP0m51Lg9LeuTWTTdGhi492RdPRFlWaIQ1s/zhxWDBa+n1zVNaqdJZfrdWbtmJn/AEeMUytDlSD0HPHmO4lLVM0s7XyTFZhuKz0cjNBK8H2DuqsH9nQ5vnut7AzheWKTZfWRv1ZwWkbOpaOBVWX9Yn4DDJ856yXakqqm77ZRPNLLPGzSvJ0kPGIYHC610966+h6KzdmxpouWOohtfx0LCSvx1e1Ryf5C5zIhVqOH1Z0FhxuVlfvSbuiHQ4N8Sx1eJKNwgzhxdcu1Rwyf5zvHhUQlMvimPzUPBfock+eGIclrYZ/vFZSJPWV0c9TRpHCnYdzQ+9lXsjPe6k4Z0Psgp4bi86UqZclscSanWdGieDKaPCqnyTmk0lrRsv8AECOm5y+eUr4bnY4ZViVVbwZVz01S3aO272GZ0IcfSm4+gSpprrnvVxD186nW6nIIeFSfNQQ4bj5MSl8Q4jSFiuV9Wki8fSGjZ0V8GHQSVE+wqf7hiGdmcP6Tn16pqFSPVxobzdUNc9ehrc6zRDQbwbB6msqmSkTXdHfIhZ0mY2JpKzNRvIp1Wg2amiy1Us0qRydDHHe5qFXiqJq2jeGdXk6Tbg6k305zU4mLTKGuc2ZV4hH5gqxBzTdrDDH2hFf1gYTxkqrh2iv71iCm8sU3MMWWnAZ75wyu2qppWhhTtp4QyKMSd3aovyoU97vEr4ky9JLDH9tzks7MSWqlsja+GDxPCGf+kzPJ9ss4KnZtU3tG7YUz1tJfvKd3Q3Dud8EZ6mSpuTVpHqzbcdprMlx5CzMz8qsHy9Dtxv2D0nmRnIuLUyy3cZjZ0JxbHBvhKGhe4a6y5OEznTVg8FTBNspGyGoUkOryHnjui84WSXvWGXVs/WFePXrmnlz0QYhVvqmtIuLTXW2kavdr9rKLnmuyG+cm6PMypuuRi9r0uyXLxHH5rTWTL6Z2x6IUaLUrb4RCHSOyNYw9Vo0Elyi7FqVuj2JAJVg3JCzBQVN2zJ0bE0CpdCFXUCyqxdVcN20pFge4CipKC3JslpHQI20vF6At6ZWy7LasI6Zl2lygTKSmtJsZGg5eQedGbhAXHMqsLksYZjTiuIqbWUgLDDZmppoZY9vUVEL2EbO/G3rKqqqW6ytrJp5A7JWPR3NcTCOFWOYnqbJdnyh1lfakbHDSbUnKBb0D/rDN451muOGoJukuOzjARPX29naHoL32pFsH4IV5brRuebnZm4UjAh4liS0+yq3sd1mRpmxGDJHFU06YjCnR39VKZphqa1mncsZ3u6kx78SF3evovnS9TZtZ4UOIwtPFKkGp69Jn6s88aVM7XxaqvXo6eHo4EKCB9u1W+2UuJzXZWNfhbnhj262VlZ07YaE2rmVsilfIMQVPMOSObVrjY/SVKxSws3DrIdYMRiO9nldVjXWM/VoeTWVPY+ZFSktJC8PC8Z0dhwuiDN6owygjSre+R9vV+TO3vPl2f709DsqOwCETnHgjMFeQIsHhEhMVeGbOST1hKjcRQJst6wXqfFL5oF33EKd25SaRZ0tIcR4Z7IiQWILHrOdPNBLUYX0Su+pqL5EQ88d/yL/6nsCvS7Jay3meZ35mYfVZNqLUWeR6I6bdO9YUw4M2qzsHiz1wYF+kmD9JOdjjuaFLFlbVtN+M5ufBEXtOdPDKhNpZ4s4NjnERhIBzTq1nhPGP13WDGBcTDmLbOVmbhQxfvHN574xqIdUrdJMZrVv4xKx3EstTUs7eU6MhYk6tadfg0cKDl86/XNDeZeXiJNBNdkK94VXKP0m8zmCkzudbokzqqaCujSJujnk20OMd+cR3y0TK8Tatk6tyicNa+i3Q92JXq1HrWbV9HtnjPSxiqVOKVDJK866zjcPlIxdoWgaqd437BxFVMzSXFFFGhsc7OhbDoOYntZVYii535hkzmnTcNe2VWNJpHuVWMsg3qaNgU10akBKq4b1KK9oHOjK/Fqa7aANmqyeTkEJM8WW2ThKyB2iylzBUpOtrcQEpJlYhVdNz3R8QSUzrtKISZu0BGkdla3tC9c/aUenmRuJQ6rK2xr1eP2YD1BUo2yTY7TnJ357lLCkrG5LWAmvvEdoee58ikW91y7SgSuyVjzNy+iWEb3ZCpr5uyoDE735GOWr0tY6afZjOYr+MAoOM7qkM/TedThOJK2VVbtgdDG5FnhvjZW7Y9Ic5nLX25LFAMTrPAUzcfWOhNkTvWmVF4ppNWVmbVMvGxZ4m988a9mCO8BiB+9kKmdya819ylZIARjwzGSUTmARYa93OmavfFU1dOmsjo+C/yxlEcLNlVV4nPWeijN79GYXTxSK8czx6+f1xod+ZfBp0wbTd1Guet1oDY4fPdrqSwAQQCxABI5MQqDdJ9sejI2G7pPvBJjLLEC5OyMyDwzOViLI4i8H3CIywRatCmr6O7Ix0Egw6KX12PGc4tm8z5WOWq8z35TY3hUhSUa8rG0ozpwU2UQZ/IEYiQOybEW2BcTDGd81sFQ38McwLeVmf01tLN6epj/3iGPXruL+ill2JdZcfZ0V47lCdL8rMV9JU2XL2TstjkNpt0uyAF45HTM+RmuQ9eGJ5lbhGR6wQ+yECEQi1HEPwPcx02b2bHfOS4DjH2gsLbOzCstHVNE3rCNHDdkJhFJDdlOwzee3JaUVBCT6CaxiA6oQ73ZBmOa7IATQquFeUhall2lLOcRHaEBQV9uzITXhyPwkWegVtpWI0EzwZbWAK+jZQgdmRSzjmV1EQbOyA33tdkI0lGycJYa60NcAxSO1v2CHiUzPlvVtWxJd+cZdL+GxwIUGK9luIL14mYi1+G+MpGSmZcvogWFXMrKcxiW9S9q7FT0imq9wEUlX8wwiDiIBf4biTNHa3YKPFnZ5AgezKKn3qBYxvqEVQnm6ZvTjItfuVhDvc138MBcgzILkcQAuBOcm9kiwE2kde0BNzZr1oq6lqGXWLDUax4z2NBMssccsbayOaOGSM8s6Pc2P03XU9HGuy8nTv5OE9k1GYz00Ma0F80MEerjR+t1JzX6gwp3Q1wbvdV+jvc4OXjc6MmW1leNk7DiDhPp9HRfU/efBAAOXjcjiJCLI4Bhj9d94JUblfhvhPWElN5ZYHxEjhI9pFkcBFXuGUfmCRwPQXgNyDN5MLkIr7xd/OMvvLlbL6sReLq9wzG50qlc4M/OUeka7vVvWQltguzlGcWRZ9YkvSK5CizRdqL4a6dDKIKnmtYr50tY7SDR1iFZUrBQWVTTSdAl/Sncp3MGdT23Lg/wDnrOr/ANg6mF8JuWnRODD71DXHpCg7kXEWyXVeJ0EHoUyTyljJ3IS7P7Xd/wCSOPBDgTeW7xdJRz1GW2GKaf7CHqqk7lemgy9NVTVX+0dhm9o6gwyPVQ00KKnoE+JA4E2BaKswFWFnxGDpJurR06s0mkzSgiydCqRndV+D28KkJISniMnQ8x90Bg+Wlr4W5OjmpOM4KgfntPVWmbNX9LYZIka/rFN08B5L4GL4Wa2LOC9jcRfblERuEhNSuaCYsL7jnKSYs4JgmsJCM+yPRiJ05gJNBUq2yPzwq3Ec/HNblLaCvV8npEAy9M8WXox6Ca/L5NhcnKu0M33cIQPxurtafO0FBrYski3dHP1mwMybLEwuRLiG6ZV4SZeIkcgGY3btFXiUzctsfRlu+4q54bspMU1jcu0Iq9xZzw2lfOgBQQ3Fg+FPycLlhmRhvfNTDE3DPIeoMFzApKqNVkRCi+/QvhDW8hSYbL4oQUzr1iPae2qDQzh65VytEXU+iXBXRlajQo5tfwHhWvQhIl1p6d0i6BIlyM+HPNAviP0p5/zozVqsMltk6T7BfC+Ciyhz/aAkunNtLYwizs9ou4igi87bRdoxxXOaa2gieOnTrKl+qjNU0B9zVU4rq8QzhyPh2Ht0kdHk6KrrPX+bU57PzewSlwyCOloIIaKnhjsSGFDGncuhBl+iDQ/TZvU6pH00z9dM6dLIapBR2ZCwEFGtY5fOrNaKvju6mfsTGR4rQS0srQyrYyHoM5fP7Npa+HljXp4erbyn8A1W8d213Q1w9xsMHO2w26JsbvFkV7lysrLq2QLzibK/o6Iu8ZkAZkcVrDED88nrCV2isgfnb7wWF/MXT70DwzIF4h35ioRZAvECJHJgeZhDvl5BsC4OXjd4CJAMvq5hmNxiRx/snWsJbYS9wiq4gwYKriMT702q9zPTK+KzS5f3ajPS55z7lt/1yu+5w/1j0TGZdDW5feWfbLh5IR3VF7C4iBqSHX0Ctk4S81QzPCX1nEZtjtBxHF4kljGr5w03NcZ/nDTGTN65urfZY8laYsCy0OISMuSyGsfXxnq+cxnTjhWvppHt2oOkjPaJqL4MVpJlsFyOV6bOQc1xmsFZwE9NkpoKlS6oJr9kCbSOTCvstH7yCZFXR+KVb3JlLq8bnplcBGG192S2Qf1OVJFaPhKiemdNq0m4ZX3dG3EEF1xZCFVoTU3CJ05gK/skW9lH32RF6txAN64Y13OE6eKwzqfSJh93Viun3j96rw8RJpKPtuB2GiCFWr41biSPWRnrTNZLckZ5I0Ovfj0dvD3vMetM2tymuy2djtGoEVshN72ViNhPCpbJuMJlKyTB1lyWsUVfouwypy3TwJIx2yISYy5RZNx9Jo9weJbY8Po0/kj2G5gYLSyrPTYZhsEyeGSmg1p1Y3ITVgWgzIEbkHqUAgCasHyQ+ge6xkOlvBNVKtVGuzN1/rThjfM6cNWtpZoG8JHsGByJlRmVuJDkt+Ymiet0u7b9cNBEgzeLnciyOaeDYo0D87feCwvKyB+eT1hJ7JfPvQgejcRI4iMRPuKUzMjjYgCaAAZPl5MPiJHG7z6BlEgszn+3NT5Ol/0n98L/ALe1XkqX8M/vju+QtaT1KlrWA7hmv6wzKl0j1kXBDRZP+qz++CbSLWPl5WhosuX/AOiz++KPTLtX1+qXqVT053ONZZisieWpD1BS8+T0j8180tMGI4VVJV00GHPJHuSaKZov9NcaFD3X2cicNDmx+XxT48vhgWsK/LhN72TKL1h4L+eRnP5jmz+WxT48+/PJzn8xzY/LYp8eX8nNhcSL3nrBD5Twh88rOfzHNj8tinx4n54+c3mObH5fFP8AyBPlJnEi9vYrTayNjPM4aa25TzC/diZzN+45s/lsU+PKiu7qHH58uXK9Fm/k5fEp6740nwJp8eDe6+G3Kxn+e9NereKZZPp+xh8vK1Pgvsa34gqq/TLidRkbJJBhe14kM+T/AJxCiew48HF4lDqpZE6xUkIUjiZKjK2VsuW3Lfv5hq8zWEfjclUlYyZVYr7hxajL/wCy5f8A7EPoOyoKlZVuJJxUGJOnDkX/AEH/ANOz+j/oOGOyDXJ46HESYrK3aI3fcnjDhjQ+/wCDtOhUYnNTLtIxyOWVsom8cMdPHnI6C/7Ty8trKlpyyPlUlU+K1EXBK6f9Bwx1kGMI+TasHuiftHKPjNQ3GySfbSH/APg1+lH8WH8A4Y616DxWEfo3K2XaY5f9Lzf+6/6BHjM67mH0HV6mODJcxWV+K3cylNPikr8VpDSXKu7KPoNV0HQzy4xTvGuzBrpJ3/gnsDN7cp4YzJ0h1+DZcve3e7xvvhlTli/Cd1S90jjcXBSYFk/6xV3xpi30TmyqJwg924M/MXsbngql7rDOKLho83Mn/WmrvjiV877OTzHNn8tXfHGNyc13Hg96RjyZTwUndi5zL+45s/lsU+PF/PKzn8xzY/LYp8eT5SanbZF7y5RmQ8J/PKzn8xzY/LYp8eJ+ePnN5jmx+XxT/wAgS5SZxIvdd4qHKeD/AJ4mc3mWbH5bE/jxad2PnMv7jmx+WxT48jyk09t0XvgbsPCHzzc5/MM1vy2Kf+QFfPOzn8wzW/LYp8eS5SanW942DboeD/nm5z+YZrflcU/8gfPnl5z+Y5r/AJbFPjyHJzNb3VPl5jDdINN3vX1C9mbpEPP1R3YOc7/umbafYpq/J/3xS4/3S2N1+r19FgEeo4NTDXLyf/mmHvHdM8mrQ2GJnRpm3GdyHOYJ8uuK+b4R7Ks+II0mm3FG8BhfsZ/fmkh+ncrZ/wB7G19Wpb1QP1nrCwv5jzemmXE1u6DC9vLfl6Gf3w/k04Yr5DCvYz+/LJ/pzIl/3sVw3tS9DXhI555+XDFfIYX7Gf358+W7E/N8L9jP78h/jOR/exZ6tjt9n2cggwJ9NeJt+74X7Gf34j5Z8T8hhnsZ/fE/8cyP72Hq2O3obvMI+WXEvIYX7Gf3wfLLiXkML9jP749/x/I/vYr9WpbuIkMM+WTEvIYZ7Gf34h9MWItvgwz2M/viXoGR/exP1almoAB2jlAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAf/9k=\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/Hdmhcud2RqE\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7fb6141b2748>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Диалоги \"Управление светом с помощью плазмонов\" (Часть 1).\n",
    "'''\n",
    "\n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('Hdmhcud2RqE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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2t5m5FjqYWWcuteRTxnLEjcTq6IWJtuq1/XqZnOrPbbvIg0tXqWKpkmmtlpQ5ZZk8vvLpQWMolU136hOLJXSOVxWq4U1nZ6M87VhzNtS3PY17WFak4yWTz9zYyjUlGjHSMXJ+pHTp304dWe3GqQ5HjqdCwpclPnlu9hI20qteKlHlUtsnQnSnTwpRa7jWd/NOeE/doQMhEnF1QLIkiQCMgCUaRKJAkigVjMRsQQLkkg0hWZpds0mafbNRmu/cvNCfsOKdmv8A7efsOKzn0vDeRXud60eaMPYcB7ndsW/Ixz3F6v8AFMPLWPHYryxot4PLXQ+xHNnQhMbEWZUuAbwiWhZblErzgawKn3DRXeUSloGB0lgjBnYSRBMiEUPEfAiHyZqmS0FehOSN2RES1FRZhYELAZZLjoJzYJz6ygW5Eh00VzZYiirsZ+dJ6miv2TG48zOuPhKtVSOdxnViupZacMqXMefPLDOOZnctuH29sly005+lLVnSdPbFz04dO3uK3Yoza72sL8xvom5n2uSHtl4HomvUK0up0nTkYudcFcFa7VdfhEb6JpxXnVZP8MHVljJnuJYWjNcYnKsHJQt+xHMvSlqEKUrhvz3H8BaqbehttqfkqWNcvc1JE3XJmoU7l0XUTqLo+pdGUtjHOlOXHYtrVqSXwsr4HV5K9ShU6Sys9Blh+bi45funapWtSeuqNtK3UUubcto14Rio7suxzao4u8inyfKVTepqksRMnkpVJ4gnJvYmtrvR+0kkst7JDVLONO3nTaXlKuk33eo1UqKtkllSqvd9xPLzSz0j/c7Y48ZuuOefL8cvifDYXNvKFJKE4rMJLozFwe4+c0pUbmCc4PllGXed/k5sv1HnnR8jxmq46KXcHNfd8Ges7Xb0H/hnLqUKtF4qU5RfrR6ulqlkeVKMo4kkzFxjcyrxbIkenrcHta2eWLg++OhzLnglenrSkqi7nozPGtTKORghFtSnOlJxqRcZdzWCoNHRIsRiAexWyzoVsQKDIbBmkQ9jNLtmjoZpds1Ga7V5WjGjKPMstHIydRWkJ9rLHdhSxsc8cscfxqy1xnJJnZtqsXRh00ElYUsPQtoQSpqOBnlLDGWVcriC6jRuoesr8lHuGjTj3HH8dDfOoZ6k/Oo9EyOSOdiyNOONjP4F+dLuZEq+XpFlvJFLYOVYJuKp8s1/AN84eOwy9QXKRJJRHKGlPzqS/hZKuJNdkfCxsCiibnxdK3Wk/wCEjnm+hc0sbEKI2EU6gc9QvVMhwwTkK1KrgM1N2y9R80JJKI5DO5z7xeZvqWyjoRyl2K9SVnBZygkNhEn3kcssl2A5SckClGNPMo5MXLz1cRXaeEbauFSKLGnKpe0+VNpSTfqOuH7+M16KnSjRt6dOOMRwWZz1Fq7R720N7z2POjf8Ctr1FmFt1Ice4DNVWF4GSrBvbc31I5KeRPRrLJsY6VDLcpJaGuFLOr2LVSSWi9w2zwbiMTs4u+t6mP42v/izk8Q4e7bi3PCOFUWfxR6G4r0bWEK1xUjSpqWspPHRiSrWvFLSNxaVFVhCeMpNe3f2l/quPlyadepBpNbd52LeXNFNGS8teWOcqPrZinxG4otwt4wUFtLGW/ecpjydrlxduslyOc5xp01vOWiRdSlQp0FOhKNRS2nF5yeLv6txdLNacm/X0Oj8kaylSr2zlrCXMl6mdMcZHLLK16DVLO8nsPy8sFHLz1ZEPOm30WiLMLmJlURjzTgXcX9J1X6J6F9M4OPd0sXFeXf4GINdpJNRx3GiL0W5isHmktfwNsEs6/mUSmtdydPURFLVrH4AsZziPtApuLSlXg41KcZL1o4V7wGUcztZZXoSf9mekk1zYWr9QkmovHeNG9PDuMqcnGcXGS3TQHouMWsa9KU8fvYLKff6jzpzs06y7SVyLCuRIpAZPUHsaQj2M0u2aJGaXbNxmvSRjoOo4RCGPHXZVNaMiklypjT7MvYRQ+zRfR7O9yVEHuNEypHHVF8ViImMsZPQzaJUcjY0IiyWzKnUfNFnFYGXZCWsSCrGgJDJaEFE4WCYIgmLAsWxDJWwrMhseaLPYZbESATHmioeWkSuLKGJSFkyYsoboQmN0E2ZIhpU3USjFZcnhHUtaMLaPk4JZ6vvM9jFSqp42WhsqRw1JHt/58fzbj1L+6NU/g/7izGhTUfmQ/7i2DzHc7OacZ1f4EOLwT+IZWzM0VNGWvWhQqx8omot4cui9pucSuVCE158c+osENrGd/YVLWWDRyJJJLCSxhFeEnojcRm4ra0Lu0hC51p86b/NHm7WF58m7ucYRda2qaSj6S6Nes9Rf0Hc2bpbZkn+ZFlbTWKdVqdOHnLPQuKJrxVeEeZY07L6GWdnHG2O46kPJVW3Fp4eGM6cW9Ea0tu3IjwyNXzceb1YkeHU7TiFKdrU5ZvSS6cvU7E46ckdO9melSjGrKfdpkl/INCSik10H6iap76saLxppjocVDxlM5nEovykpLblWh1G9ehgv5J5S6oCnhzzCKOjFNNaLYwWMVE6GcmgYecg215zT/Ajr4Ih+dUWNl/cgmK0bbXM9WJUxGOW9B5zjCLcsIyqEriXPPzafRdWQEYeWbk15p5W+pxo3tWnHsxloequbmFulBLz32Yo8vxKlKndyctVPzkyVrHyz5K2MKzLogHsAPYqK2Zpdo0SM7fnG4zXpVuOItxmeJ2JPaXsIo9hEy7LCivMRr0ezdR4ivcZGFT1G6CDrYlVMUSStgMhn2AexK7KCZAq2FJFKGCO4uQiBeloKyU9BZGQ6XmkS3BPQWTAWT0FiS9iImhMkEdyWCWAHQr3GRss7bm/eyWi2XeXDG5XUZyuptZY03Tazu1t3GyWGsCQ82YTly6vqfRmMxmo81u7tXVxGkn/AMkWU3nZFVb7OOdMyRZBa6ssRd/cNcagnl7+8l6bGFY5VnG9hCfYmnj2mzTGjM17S8pSyu3F5i/WXUpqdOMltJFBLYrxhlr9hVKLzqaiGlJKGZdGXUksNrqUyjmk4vRMvprlpxj3I3iFpW9Oi5zWXzavI3Zj6xn0XeV1asIZnUkowjuzQpvbmlZWs69eXLCO7OZZ8d4fc14UadV+Um8R5otZZg+Vl7Uq8NcI0nGnzrMpPV/geW4dJLiFs3JRSqxbb6aolm2dvpuy9XcQtGHMsag3nU4tuVVnxmvVkqapWtNPGcc8n6+4edOrSo/vq8q8vSkkv7I6KfNF43RiuW5PlCLLRLkWO416vvMttFRjhmjKwWgT5Yyb6eoWOYx/5Pcio88sVjV50LFzNPX16EUnk8z5569y6FU6/PN0qLWVo59I/wD6UXdxOrLyNvlZeJTXT2GihQjRpKMF+BUI6UKUG313b1bPP8brRnUhBQw46/geiqSpp5nUWnQz1ba1uMydOnOe2ZIliy6eTQkjRc21W2qOFam4Pp3MzyObqhBLYERJ6FFcjO+2aGZ32jcZr06QNYJQSPE7En2GFF+Ygqdh+wilpBF9Hs/UYQcijJYthB1sZodEMEEjKrFsiJ7h0RE9wiBGSiGVUImO5AR3Au6CsspwnPSEXJ9yWTVT4Vd1f5agu+bwSYZXxE3J5ZM7Cy3OzS4G9PK1vwiv8munwi0hvBzf/JnXHoZe2L1I81uW0rS4qdijUf8A4nqqdvRpfZ0oR9kcFmDrOhPdZ7rzcOE3c94Rh/3SL4cEqfx1or/tWTuYINTpYROdcl8Ko0oZlOcn+CHwopRSxhF1epzT02WxXjK11Z1xwmPiMW7V7PJMsOJE1y6iKepqsqLiXJFL/ks49pdSZmvHo5aYTX9y2hPLEGyKwtSfX3Aid9FnJkQsNPuKLdcjnT2UXlexlzzFaFc3itCeN/Nf+P8A31lgtl6kI8vUbdBlZx1KImk4Y73/AJLYMrzlLOEkx4TjJc0ZJrvTNYBpPGX3aHLrSde4nv5Oh+c8f4X9/UdGbUYOUtormZntKXLQpxfal58/a9X+bN1Hm+LTqTtWqtGUGo5ccde7JxuB21StXq03Q5W4YzUht0PoFzbU68cTgpL1oqtrGhb/AGNKNPO+Fg58jRaVFwoU4JyfJFR13ZZHVFjWHj3sWrNU1phyl2Y95lVVepyLkp/aPr3etmSOtZJtvTV95el5OMnrKT3ZXCnzS5urfQSDUoJPYs0x3ERWIrXA2wFTeazxry6Z7ii6qyl+6pbvd+osWWm1vJv3ERgqbbby/wC41s2WlThS6axQTdStLCk4wfXqNFOTw9vWNJ4em3Q1f8PRYW1Gnry5fe9WWcsXqor3AtN1qPn1GaMt1QpV6fk6sU4v8vWjynELOVnWcc80H2Zd57N6rVGS9tad1bzpS0bWja2ZNNS6eMQTLbm3q2td0qscSX5+sqZl0VPYzvtGmWxn/iNRivUpg9xUTnLPE7ln2WRB+ahprzGJDso16PZluWLDKx09DKgdbFZYtiUWLYiQdBWZgszsRJhjODZQ4Xc3GGo8kfSnoamNvhLdeWFDU6VStLlpwlN9yWTv23BbelrVbqy9ei9x0YU4U48sIqMe5LB2x6F9sXqfHAt+B1p4daSpruWrOnQ4RZ0d6bqPvm8/kbgO0wxx8Ri5WiEIwWIRUV3JYJAk0wMABJUQBJBBDKK8+WOFuy2clFNs5ta41chFPsVVK0YJmWpc74bZmlKc5Gto1Tr5YvlE1uZPJTk85YOFRYznHqIHvH/pan/a2JZ1nKUZLZlV9UlG1l7MMq4M/Kxhq/NWSweig00OllmeMn0aftLoS0SxgBpLP4Ga5UvIy5dWlle01YzHTUrnDnTW5AlKSq01POjWR35rzjBjsZOM6tu85hLKz3M2Yy08+0oru6Tr206PMo8+mWs/kJYWasraNFVHUed2WyeIrO6Y0HzVH6kbw8IW/bVhctZz5KWMeweknGCzo30JlJc/L3EN9+39yZX0HXnbA16OEQmLUrRp4W85bRRhS1akaMNVzN9mPeZ4xw3UqN88t/Uu5F0afnOc2nNrfu9glXOcIqKZatJLcthTxj29CYU8PLzkdL/iUEXJPXT2pDPK/AHHPTbXUHnmzgyrLTrw8jDlTzy66BH95PMtEXRt4RS0Wg2EtMF3Ia2TbzcMNF0yPhbYRDUcaLBNhcvGhGFnrkVwk3pNr8BXCS6sot3Wqx+JGUumV6mUT8q9np6pf/gkaz5lB1JQk9lOK1/HZgLxKwpXtHlfmTXZljY8ldUKltWlSqrEl+frPZymqf2j5V37IxcU4fC+oxcJR512Z9PYZsaleSlsZ8+cbruzr2jxWg13PdP8TB/EWLXp0T1FiMeJ3RUf7tiw7KJqdhkR7KL6T2ZDla3LEzNaA6K86lkU5YSWW+hA7Zqs+G1rvEuxT9J/4N/D+EpJVLlZl0h0XtOwlhYR3w6PvJyyz+Mtrw+3tsOMeafpS3NYAej8n5HMAAEEgQSBJJABDAQAQENk5Kqk+VMLGa7qN+bH8TFKk5dDU3ltlcqkU8PBqRGdWvV6lkaEIxzoFacqlJ+Slyy7+45F1SvoJtVOZeoI6+Ka2a/EqqVqNNZnOJ5ivWu4PWU0znV5XFTLnUlj2gdTjXFbZx8nRafezZ8mYSfDVcNY8pJqPsTPMRs6lZqnTg51JbJHtLCHzPh9C2bi5U4YeO/qa8I1KWC+Em2lkyeUy9upZCaTRlW3OdWSnpnJVFp4/II1qcpOEKkJSjo4qWWiKy3adG7pVv4X5kvx2NfNlJ43Krul5a3lCS3QljUdahF/xx82XtQD1U3HfTI1KFRRbSw2+pbHEHrqymtcOMvN84nc0649LfldCjjWUsv1bDOnnqyKbnJZcMe0sWe458rf1vhIRQwVO2inKab5nrl6mgrqz5YPToTlTjPibZKdtTcsSljDeN2tCJwUJrCwpdPWJw+bdjBvvl/9mPcPNCWO0tV7T1+Y898jl67hjCK6FZVqMKkXpJbdz6jt/wDqOKjKRDfUPyI6kE6CSQPIOSYEZT9oaPcHq86JhlewBJLuwV88oPXVFuqWovMpbr8gEU6c3jPKxa9KFWk6dSKnB75Er26esZYZmdavReGm16y7EUHXsqjpVZOtbvsye8fUy+NjSoyc6DlTUt4xl5vu2Fp3kKixKKyaFUjpy9nYbRkuKKr05UK8V5y0a2l7O5nirik6FzUpS3hJo+hVYqccPVM8t8obPX5xHtx0n/yj0ft6e4qtSJZESWeF6SVHiDBdlEVfs2EX5qNek9pW44iYyI0ZbnouE8PVGCrVV+8eyf8ACc3g1r5e48pNZhT/ADZ6WKO/Sw/tXLPL0ZDIgDvXNIABkAARkgGSK2SmAxIpIEkkAERJmS4n5rNFR6HG4tdeSjhbhVNzexi8JmOV3KctMmelRncS5paLuOnStEor/JplRTr1KbUtfWjdSnTuI6PEu7AfNk90hJKlQeVjm9QEVuHxqLVr3GCtweipc8nLTodH5ypbsouq0fJt9yYlGeytoefUpRUUvNi/7lrhyN5evcTTt6qtqXkp4XKn+QnzSs5atlCOeGvb0HpzfMmN82ccb+4FTcUBrp1dNVk+f3F3Vd/VcYzUuZvGMM9vGTi1lk1oW9aDlVpJyS0ktJe8b0mtuTwC44tezjONXktY6SdRc3N7M6nd+cU6MpRppR1y/X6zF8/p0oKnBcuNFFHJu4cSu7+NvJO0ptZdTRtr1HO25V6cZMHZrcYpRrKhTzWry2pU1l/j3GykpUYeVuFGNR9E8qP4mCwt7ThVJxtoZqS7VSWspe1hUda8bUde950Rzutt/vt0VxOhsp5l3IuVatUXmUseuTORSjQsZqU5JyNkeJqrpSePWlkLps5qsVmpOETLd10qb89v8kVNym8yk5e0y30uWnJuWXjqyRK6XB6nNw2m31cv/szVVa5GcWyuo07SlBS2jn36l073EdGeyeHlvlHDaqp3le0ls35SH+V/Y6i1R5K4vHb39K5TzySy/Wuv5HrE1KKknlPr6jnn5SJ2I32BNdEG3TBlS47wx3bEyIyluAso65IxjfUbm6ZwQ+XGG0wFUhXFPv8A8E5XeI6sFvJe8AnzR2wkVziprXUmVVLZ5KpXVLm5ZZj6wM9a11zHOpXRrSpvkmmbGm45jJNGa4pOSylsBpp1c+b37GPidJVLWrNvHJSnn3eKRFGq9E2k0ZeP3caVlKEX51Xzfw6/++ssERJZAM8b0kq/ZshbIKz8wFsi+j2kZMU1cOpeWvacGsrOX+Ak3dF/Ho+G0PIWsIYw2sv2m5FdNaF0Ue3xNPP5AEgZ2AgkgyqMkNgK2BJKYqZKAfJORUMVEgQBBXVemTz95Slc3XJHb+x6Cs15N5ODc3tK1TSlmcn06lhV9OhTt0luxqtWtFYp0W/a0v7sSlGXk9Xy1Jbv/BkueGV6qbjczT6ammVV1X4pry2c2v8AjOL/AMnDueL3NvP/AFFvXpZeFzwxk017HjdnLmoTVZdykWWfGZVZO04rRcJS6VI6MqMNPjdSTyojyvp1ovmaWdkdKfC7aNTMIpQeqwZbm0pU05OKSXUgs4Lx+imrK6lyVI6Rk9pLpqemSWMrXJ80uLOve32bejN09ufGnvPd0bvyUIxc84WDVI6HLF79CupRUtvcVRvqMsZki6NWnJrkmsmVZZUJZbX5ieSk24yjozoc3saDK9FAc63sKVKq6ii3PveuCjiNtWlKNWnmTWm51pTSKJqMtG9emOgWW724lOU5VP8AVealsk+0PX4mqaVODx6MY7s6dWhRrQUKv7yMdumPcYLrhUVV8paKEXjDUm/7mOG3WdT6xTp1Z/va0lBeitWaKPEYxgqcaeEvzHhw54zc1FJ90Tn3vBqFSeVdV4Jvs5yizD6Xqa8OhG98rV8nTnGdXGeSL2RFxZ1bmjJVavI2tFHX3mGz+acLhJUdZPtTk9WJX4u9eVlmEjF6lq2rSr03pKPsUjNK8cPNlNL1NmGtxCrUzqZ6d1KnUU8KS6p9To57a7i4dRbnrvk7d+X4PRc3mVPMHl9235YPI1PmdzHmiuVvdKOGdHh9T5ra8lPmjFvmw3l5M5fsI9a60IrtFc72jHeSPK175pPmqP3mKN7KtV8nB5b6mOLW3sJcUoR/iRmrcaoQT5ppe1nFq8MrRtnVndYeM8qiXfJ/gMa1b5xdLnSfmqXUvHQ7NnWuOI+db02qX3k9E/Z1Z1qXDoJZqzlN+rzUaKMFCKUVhIuSMqpja0I7UYfisjunDbkj7hwYVmqWdtU7VCnnv5cMw3nBqVam1RqSpS6fxL89fzOqxJMDxVzHiXC5NVUnHpOD0f4GKXF60l22vwPXcaUXw2u5dINnz5g01y4jPXDbZgubipcVVKo84WEu4mRT/EbiV6jIM819YLv7uj8L8Q+sF393R9z8Th2M3Tu4vRVeyQnojzsuPXUt6dH3PxD6euvu6PufiXs5aTu4vRNnY+T9FyqzqtaJcqPC/T1193R9z8Tda/LLiNrSVOnQtWlrrCX6jWHRyl3Uy6ks/H0+G2hZr6j5ovl/xVf9PZ/BL9Q37QeLf09l8E/1HW4ZOfKPpOST5r+0Li39PZfBP9QftB4t/T2XwT/UThkco+lEM+bftC4t/T2XwT/UH7QeLf09l8E/1Dt5Lyj6MxWfOn8v+Kv/AKey+CX6iPr9xX+ns/gl+ocKco+jEo+cfX7iv9PZ/BL9QfX/AIr/AE9n8Ev1DhTlH0lDJnzX9oHFf6ey+CX6g/aBxb+nsvgn+ocKco+lZBywfNv2g8W/p7L4J/qFfy/4q/5Fn8Ev1DhU5R7bitxLl8nT3e5y7Th/+o+cV/PlHWK7meWl8tOIybboWmX/AMJfqCPy04jFLFG10/4S/UWYVLlHunHO2mBowffk8J9deI/cWnwS/UT9d+JfcWnwS/UXhTce85OnVme6saN1S5K1OMtOveeL+u3EvuLT4JfqI+u3EsY8jaL/AMJfqHGm49HiVlJUa8s08+ZN/wBmcvjF/ToXMKceWenN7O45db5XX1aDjUoWrT0a5JfqOPK7nKo5uMMvprhFmCWvRrjdflxFIpd7WktzjLiFRL7Ol7n4lkeK1Y7UaPufiXibdaNetLDyy2NzcLaTOQuN147ULf4X4krj1wn9jbv/AMX4k4029Db8Wu6TTb5l3M7NtxaFeGrxJbpnhnx+5f8AJt/hfiKuOXMarqRp0VJrGifiOJt7KV1OpWc+d4b2yXRuE+0zxP1gu/u6PwvxFfHbt9KfufiThV5R7id7Sgu0Y6vForPLg8dLitxLfk/PxEfEaz6Q9zLxqbekr8VlJ6NmKpfTl1OM76q+kRfndTuiOJt0alxJ9Slyb1Zj+cz7oh85n3RLxTbZrJltOhntGGN7UjtGHuY30hW9GHuY1R2KMIqWFjTVk3F9GnFwp+dLq+hw3e1X6IvzqfdEnFdtsnKpPmnJtm7g9Hylyn3vBxvnc0uzD3Giz4vXs2nThSbXpJ+JdVNvdVoeVcYdDt2NFUqSSR84j8rL+Ms+Rtvhl4mqPy84pFYVvZ/BL9RLja3Mo+lxGPmq/wD6BxVf9PZfBP8AUT+0Hi39PZfBP9RnhV5R9JBnzb9oPFf6ay+Cf6iP2gcV/prL4J/qJwyOUfR28Fc3ofPH8v8Air/6ey+CX6hH8vOKP+RZ/BL9RO3kc49b8o58vCa2OqS97R4R7ll98rL+/oSo1aVtGMsZ5Yyzp+Jy/n1X0Ye5mphTnG2RS+0ZneVH0j7hfnM+6JqY1LlFIAB0cwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAf/2Q==\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/PQkQpFU9xL4\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7fb6141b7828>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Диалоги \"Управление светом с помощью плазмонов\" (Часть 2).\n",
    "'''\n",
    "\n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('PQkQpFU9xL4')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/mPUzIiaxtOs\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7f88c06eb978>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Управление светом на наномасштабе - Василий Климов\n",
    "'''\n",
    "\n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('mPUzIiaxtOs')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Наночастицы интерметаллидов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/141wNmgnp7I\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7fb61414e400>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Доктор химических наук Андрей Владимирович Шевельков в своем рассказе дает\n",
    "определение интерметаллидов, объясняет их отличие от простых металлов и сплавов,\n",
    "особенности химической связи в интерметаллидах, примеры латуни и бронзы,\n",
    "семейства интерметаллидов. Также описываются приложения:\n",
    "в качестве сверхпроводников, сплавы с формой памяти\n",
    "(на самом деле интерметаллические соединения),\n",
    "термоэлектрические преобразователи на RuGa2, FeGa3.\n",
    "'''\n",
    "\n",
    "from IPython.lib.display import YouTubeVideo\n",
    "YouTubeVideo('141wNmgnp7I')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Упражнения и задачи\n",
    "\n",
    "1. В химическом отношении при рассмотрении коллоидной наночастицы металла необходимо учитывать пассивирующие поверхность лиганды. Так, для наночастицы Au диаметром 5 нм, покрытой додекантиолом, химическую формулу можно записать как $\\text{Au$_{3870}$(C$_{12}$SH)$_{365}$}$. Определите площадь, приходяющуюся на одну молекулу додекантиола в наночастице и сравните с площадью  тиольной (SH-) группы, равной $\\text{0.214 нм$^2$}$. При расчете в качестве длины связей С-С, C-S можно принять значение 0.15 нм, изгиб можно не учитывать. О чем говорит полученный результат?\n",
    "\n",
    "\n",
    "В форму введите числовое значение отношения площади, приходящейся на одну молекулу додекантиола, к площади, занимаемой тиольной группой.\n",
    "\n",
    "\n",
    "2. Для создания каталитического слоя низкотемпературного топливного элемента используют газопроницаемую углеродную бумагу, состоящую из углеродных волокон, на которую нанесены наночастицы платины. Наночастицы нанесены электроосаждением из электролита состава 0.1 M HClO$_4$ + 2 мM H$_2$PtCl$_6$ (площадь электрода S = 1 см$^2$ , потенциал 0.1 В относительно стандартного водородного электрода) в течение $t$ = 4 мин. Задания:\n",
    "    - Рассчитайте удельную массу осажденного металла (в мкг на см$^2$ подложки), если средняя сила тока $I$ составила 0.09 мА.\n",
    "    - Реальная поверхность полученного платинового покрытия, определенная электрохимически, составила 1.9 см$^2$. Рассчитайте удельную поверхность покрытия.\n",
    "    - Предполагая, что частицы платины имеют сферическую форму и образуют монослой на подложке, рассчитайте их средний диаметр $d$ [нм] и поверхностную плотность $N$ [см$^{-2}$].\n",
    "    - Для чего, помимо основного компонента H$_2$PtCl$_6$, в электролите присутствует и HClO$_4$?\n",
    "    - Как изменится плотность частиц платины $N$ при уменьшении\n",
    "потенциала электроосаждения?\n",
    "3. Известно, что горение наночастиц алюминия может сопровождаться мощным объемным взрывом. Определите какой объем кислорода потребуется для полного сгорания пробы частиц алюминия сферической формы с диаметром 10 нм и суммарной площадью поверхности ль $\\text{100 м$^2$}$. Какое количество тепла выделится в результате объемного взрыва, вызванного горением этого количества наночастиц алюминия, если при горении 1 моль $\\text{Al}$ выделяется энергия 10,7 кДж. Плотность алюминия 2,7 г/см3."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Литература\n",
    "1. [Макаров Г. Н. Применение лазеров в нанотехнологии: получение наночастиц и наноструктур методами лазерной абляции и лазерной нанолитографии //Успехи физических наук. – 2013. – Т. 183. – №. 7. – С. 673-718.](https://www.ufn.ru/ufn13/ufn13_7/Russian/r137a.pdf)\n",
    "2. Акципетров О. А. Гигантские нелинейно-оптические явления на поверхности металлов //Соросовский образовательный журнал. – 2001. – Т. 7. – №. 7. – С. 110."
   ]
  }
 ],
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