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tirtho109/README.md

Hi there! I'm Tirtho 👋

Here are some details about me:

  • 💻 Running Projects: I am currently working with FBPINNs for Continuum Mechanics problems, Stacking FBPINNs for time-dependent problems, and FBPINN.jl as a Julia package.

  • 🔭 Master's Thesis: Modle learning using machine learning and domain decomposition (repo). Physics-Informed Neural Networks (PINNs) tools: FBPINNs, SciANN, and PySINDy.

  • 🌱 Learning: Code automation, software testing, CI/CD pipelines.

  • 👯 Collaboration: Open to software development, machine learning, and HPC projects, especially in mathematical modeling and numerical simulations.

  • 💬 Expertise: PINNs, Finite Element Method (FEM), Algebraic Multigrid (AMG) Solver.

  • 📫 Contact: Email me for collaborations or queries. or just to say hi!

  • 😄 Pronouns: He/Him

  • ⚡ Fun Fact: Fan of Manim by 3Blue1Brown. It's an incredible tool for creating engaging mathematical visuals!

🛠️ Preferred Tools and Languages

  • Python: For data analysis, machine learning, and scripting.
  • Julia: For high-performance scientific computing.
  • C++: For its robustness and understanding of efficient, structured coding.

I leverage each language's strengths to tackle complex problems across various projects.

Pinned Loading

  1. AlgebraicMultigrid.jl AlgebraicMultigrid.jl Public

    Forked from JuliaLinearAlgebra/AlgebraicMultigrid.jl

    Algebraic Multigrid in Julia (Serial)

    Julia

  2. harmonic-oscillator-pinn-workshop harmonic-oscillator-pinn-workshop Public

    Forked from benmoseley/harmonic-oscillator-pinn-workshop

    Introductory workshop on PINNs using the harmonic oscillator

    Jupyter Notebook

  3. JuliaHLRS22 JuliaHLRS22 Public

    Forked from carstenbauer/JuliaHLRS22

    Julia for High Performance Computing Course @ HLRS

    HTML

  4. manim manim Public

    Forked from ManimCommunity/manim

    A community-maintained Python framework for creating mathematical animations. To create some custom example.

    Python

  5. PINNs PINNs Public

    Forked from maziarraissi/PINNs

    Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

    Python