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Citations

The python-ternary library has been cited in a variety of high-quality journals and in many fields including machine learning, statistics, particle physics, cosmology, geochemistry, biology, epidemiology, and genomics. Entries are roughly in reverse chronological order. This list may be incomplete.

How to Cite

Citation Instructions

Journal Articles, Conference Proceedings, and Preprints

  1. Zion, Matan Yah Ben, et al. Cooperation in a fluid swarm of fuel-free micro-swimmers Nature communications 13.1 arXiv preprint arXiv:2012.15087. (2022).
  2. Ravel, Guillaume, et al. "Inferring characteristics of bacterial swimming in biofilm matrix from time-lapse confocal laser scanning microscopy." arXiv preprint arXiv:2201.04371 (2022).
  3. Haldemann, Jonas, et al. "Exoplanet Characterization using Conditional Invertible Neural Networks." arXiv preprint arXiv:2202.00027 (2022).
  4. MacDonald, Mariah G., et al. "Confirming the 3: 2 Resonance Chain of K2-138." arXiv preprint arXiv:2201.12687 (2022).
  5. Huang, Chenliang, David R. Rice, and Jason H. Steffen. "MAGRATHEA: an open-source spherical symmetric planet interior structure code." arXiv preprint arXiv:2201.03094 (2022).
  6. Stemplinger, Simon, et al. Theory of Ternary Fluids under Centrifugal Fields. The Journal of Physical Chemistry B 125.43 (2021): 12054-12062.
  7. Fatras, Kilian, et al. "Minibatch optimal transport distances; analysis and applications." arXiv preprint arXiv:2101.01792 (2021).
  8. Kim, Minjae, Jung-Kyoo Choi, and Seung Ki Baek. Win-Stay-Lose-Shift as a self-confirming equilibrium in the iterated Prisoner’s Dilemma. Proceedings of the Royal Society B 288.1953 (2021): 20211021.
  9. Nanba, Yusuke, and Michihisa Koyama. Thermodynamic Stabilities of PdRuM (M= Cu, Rh, Ir, Au) Alloy Nanoparticles Assessed by Wang–Landau Sampling Combined with DFT Calculations and Multiple Regression Analysis. Bulletin of the Chemical Society of Japan 94.10 (2021): 2484-2492.
  10. Maturana, Carola J., et al. Novel tool to quantify with single-cell resolution the number of incoming AAV genomes co-expressed in the mouse nervous system. Gene Therapy (2021): 1-6.
  11. Chen, Wei-Chih, et al. Machine learning and evolutionary prediction of superhard BCN compounds. Nature npj Computational Materials 7.1 (2021): 1-8. (2021)
  12. Nolan, Adelaide M., Eric D. Wachsman, and Yifei Mo. Computation-guided discovery of coating materials to stabilize the interface between lithium garnet solid electrolyte and high-energy cathodes for all-solid-state lithium batteries. Energy Storage Materials 41 (2021): 571-580.
  13. Tönsmann, Max, et al. Surface tension of binary and ternary polymer solutions: Experimental data of poly(vinyl acetate), poly(vinyl alcohol) and polyethylene glycol solutions and mixing rule evaluation over the entire concentration range Surfaces and Interfaces 26 (2021).
  14. Maturana, Carola J., et al. Novel tool to quantify with single-cell resolution the number of incoming AAV genomes co-expressed in the mouse nervous system. Gene Therapy (2021): 1-6.
  15. Bechtold, Andreas, et al. Lunar meteorite Northwest Africa 11962: A regolith breccia containing records of titanium‐rich lunar volcanism and the high alkali suite. Meteoritics & Planetary Science (2021). (open pdf)
  16. Asai, Kento, Takeo Moroi, and Atsuya Niki. Leptophilic gauge bosons at ILC beam dump experiment. Physics Letters B (2021): 136374. ArXiv
  17. Chung, Wesley, et al. Beyond variance reduction: Understanding the true impact of baselines on policy optimization. International Conference on Machine Learning. PMLR, 2021. arXiv:2008.13773
  18. Hao, Weiduo, et al. The kaolinite shuttle links the Great Oxidation and Lomagundi events. Nature Communications 12 (2021): 2944.
  19. Mikhail, Sami, et al. A genetic metasomatic link between eclogitic and peridotitic diamond inclusions. Geochemical Perspectives Letters (2021).
  20. Donchev, Alexander G., et al. Quantum chemical benchmark databases of gold-standard dimer interaction energies. [Nature] Scientific data 8.1 (2021): 1-9.
  21. Wang, Fengfan, et al. Study on offshore seabed sediment classification based on particle size parameters using XGBoost algorithm. Computers & Geosciences 149 (2021): 104713.
  22. Felkl, Tobias, Juan Herrero-Garcia, and Michael A. Schmidt. The Singly-Charged Scalar Singlet as the Origin of Neutrino Masses. Journal of High Energy Physics 2021.5 (2021): 1-39; arXiv preprint arXiv:2102.09898 (2021).
  23. Busnelli, Marco, et al. Aortic Gene Expression Profiles Show How ApoA-I Levels Modulate Inflammation, Lysosomal Activity, and Sphingolipid Metabolism in Murine Atherosclerosis. Arteriosclerosis, Thrombosis, and Vascular Biology 41.2 (2021): 651-667.
  24. Fink, Christoph, et al. "Mapping the online songbird trade in Indonesia." Applied Geography 134 (2021): 102505. SocArxiv.
  25. Molter, Felix, et al. Gaze-dependent evidence accumulation predicts multi-alternative risky choice behaviour. PsyArXiv. February 12 (2021).
  26. Karkaria, Behzad D., Alex JH Fedorec, and Chris P. Barnes. Automated design of synthetic microbial communities. Nature communications 12.1 (2021): 1-12. BioRxiv.
  27. Fatras, Kilian, et al. Minibatch optimal transport distances; analysis and applications. arXiv preprint arXiv:2101.01792 (2021).
  28. Tran, Xuan Quy, et al. Statistical Evaluation of the Solid-Solution State in Ternary Nanoalloys. The Journal of Physical Chemistry C 124.39 (2020): 21843-21852.
  29. Evans, Matthew L., and Andrew J. Morris. matador: a Python library for analysing, curating and performing high-throughput density-functional theory calculations. Journal of Open Source Software 5.54 (2020): 2563.
  30. Liu, Shiyu, et al. Quantitative analysis of the physiological contributions of glucose to the TCA cycle. Cell Metabolism 32.4 (2020): 619-628.
  31. Graziani, Carlo. A Behavioral Multispread Epidemic Model. medRxiv (2020).
  32. Tran, Xuan Quy, et al. Statistical evaluation of the solid-solution state in ternary nanoalloys. The Journal of Physical Chemistry C (2020).
  33. McNally, Joshua S., et al. Solute displacement in the aqueous phase of water–NaCl–organic ternary mixtures relevant to solvent-driven water treatment RSC Advances 10.49 (2020)
  34. Marc Harper and Joshua Safyan. Momentum Accelerates Evolutionary Dynamics. ArXiv preprint. (2020)
  35. Broquet, A., Mark A. Wieczorek, and Wenzhe Fa. Flexure of the lithosphere beneath the north polar cap of Mars: Implications for ice composition and heat flow. Geophysical Research Letters (2020).
  36. Choubisa, Hitarth, et al. Crystal Site Feature Embedding Enables Exploration of Large Chemical Spaces. Matter (2020).
  37. Daly, Clyde A., and Rigoberto Hernandez. Learning from the Machine: Uncovering Sustainable Nanoparticle Design Rules. The Journal of Physical Chemistry C (2020).
  38. Qian, Jimmy J., and Erol Akçay. The balance of interaction types determines the assembly and stability of ecological communities. Nature Ecology & Evolution 4.3 (2020): 356-365. BioRxiv
  39. Bucalo, Maria Soledad, et al. A Constellation of Horrors: Analysis and Visualization of the #Cuéntalo Movement. Companion Proceedings of The 2019 World Wide Web Conference. 2019.
  40. Ke, Huibin, and Christopher D. Taylor. Design of Corrosion Resistant Alloys Using Density Functional Theory: Part I. O and Cl Adsorption Energy. O and Cl Adsorption Energy (November 27, 2019) (2019).
  41. Choi, Kwangbom, Narayanan Raghupathy, and Gary A. Churchill. scBASE: A Bayesian mixture model for the analysis of allelic expression in single cells. Nature Communications 10.1 (2019): 1-1. bioRxiv (2019): 383224.
  42. Campbell, Ian Jackson, George Nelson Bennett, and Jonathan J. Silberg. Evolutionary relationships between low potential ferredoxin and flavodoxin electron carriers. Frontiers in Energy Research 7 (2019): 79.
  43. Bragman, Felix JS, et al. Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. Proceedings of the IEEE International Conference on Computer Vision. arXiv:1908.09597 (2019).
  44. Nelson, James, and Stefano Sanvito. Predicting the Curie temperature of ferromagnets using machine learning. Phys. Rev. Materials 3, 104405 (2019) arXiv:1906.08534
  45. Kirchner, Philipp, et al. Proteome-wide analysis of chaperone-mediated autophagy targeting motifs. PLoS biology 17.5 (2019): e3000301.
  46. Gariazzo, S., P. F. de Salas, and S. Pastor Carpi. Thermalisation of sterile neutrinos in the early Universe in the 3+ 1 scheme with full mixing matrix. Journal of Cosmology and Astroparticle Physics, Volume 2019, July 2019. arXiv:1905.11290 (2019).
  47. Keniley, Shane, and Davide Curreli. "CRANE: A MOOSE-based Open Source Tool for Plasma Chemistry Applications." arXiv:1905.10004 (2019).
  48. Abada, Asmaa, et al. Inclusive displaced vertex searches for heavy neutral leptons at the LHC. Journal of High Energy Physics 2019.1 (2019): 93. ArXiv.
  49. Bustamante, Mauricio, and Sanjib Kumar Agarwalla. Universe’s Worth of Electrons to Probe Long-Range Interactions of High-Energy Astrophysical Neutrinos. Physical review letters 122.6 (2019): 061103. ArXiv.
  50. Hamilton, Nicholas E., and Michael Ferry. ggtern: Ternary diagrams using ggplot2. Journal of Statistical Software 87.1 (2018): 1-17.
  51. Makha, Mohammed, et al. Insights into photovoltaic properties of ternary organic solar cells from phase diagrams. Science and Technology of Advanced Materials 19.1 (2018): 669-682.
  52. Marc Harper and Dashiell Fryer. Entropic Equilibria Selection of Stationary Extrema in Finite Populations. Entropy 2018, 20(9), 631.
  53. Profe, Jörn, et al. Paleoenvironmental conditions and sedimentation dynamics in Central Europe inferred from geochemical data of the loess-paleosol sequence at Süttő (Hungary). Quaternary Science Reviews 196 (2018): 21-37.
  54. Ou, Longwen, et al. Understanding the impacts of biomass blending on the uncertainty of hydrolyzed sugar yield from a stochastic perspective.. Ou, Longwen, et al. ACS Sustainable Chemistry & Engineering (2018).
  55. Nyberg, Björn, Casey W. Nixon, and David J. Sanderson. NetworkGT: A GIS tool for geometric and topological analysis of two-dimensional fracture networks. Geosphere (2018).
  56. Fang Ren, Logan Ward, Travis Williams, Kevin J. Laws, Christopher Wolverton, Jason Hattrick-Simpers and Apurva Mehta. Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments. Science Advances: Vol. 4, no. 4. (2018) DOI: 10.1126/sciadv.aaq1566
  57. Pauly, Tyler, and Robin T. Garrod. Modeling CO, CO2, and H2O Ice Abundances in the Envelopes of Young Stellar Objects in the Magellanic Clouds. The Astrophysical Journal, 854.1 (2018): 13.
  58. Gotzias, A., Kainourgiakis, M. & Stubos. Enhanced CO2 selectivity within the cavity of gmelinite frameworks. A. Adsorption (2018). https://doi.org/10.1007/s10450-018-9945-2
  59. Maxim O. Lavrentovich, Wolfram Möbius, Andrew W. Murray, and David R. Nelson. Genetic Drift and Selection in Many-Allele Range Expansions. Bryan T. Weinstein, PLoS computational biology 13.12 (2017): e1005866. (2017)
  60. Xinqiang Ding, Jonah Z. Vilseck, Ryan L. Hayes, and Charles L. Brooks. Gibbs Sampler-Based λ-Dynamics and Rao–Blackwell Estimator for Alchemical Free Energy Calculation. Journal of Chemical Theory and Computation. (2017)
  61. Timothy J Durham, Maxwell W Libbrecht, Jeffry Howbert, Jeffrey Bilmes, William S Noble. PREDICTD: PaRallel Epigenomics Data Imputation With Cloud-based Tensor Decomposition. Nature Communications, doi: 10.1038/s41467-018-03635-9 (2017)
  62. Kottke, Daniel, et al. Multi-class probabilistic active learning Proc. of the 22nd Europ. Conf. on Artificial Intelligence (ECAI2016). 2016.
  63. Joshua Meyers, Michael Carter, N Yi Mok, and Nathan Brown. On the origins of three-dimensionality in drug-like molecules. Future Medicinal Chemistry, Vol. 8, No. 14 (2016)
  64. Marc Harper and Dashiell Fryer. Stationary Stability for Evolutionary Dynamics in Finite Populations. Entropy 18.9 (2016): 316.
  65. Cory Simon. pyIAST: Ideal adsorbed solution theory (IAST) Python package. Computer Physics Communications (2016)
  66. Marc Harper and Dashiell Fryer. Lyapunov Functions for Time-Scale Dynamics on Riemannian Geometries of the Simplex. Dynamic Games and Applications (2015)

Dissertations

  1. Levo, Emil. Radiation Damage in High Entropy Alloys. Doctoral Dissertation. (2022).
  2. Fatras, Kilian. Deep learning and optimal transport: learning from one another Diss. Lorient, 2021.
  3. Chen, Wei-Chih. Predictive Modeling of Superhard and Topological Materials by Density Functional Theory and Machine Learning. Diss. The University of Alabama at Birmingham, 2021.
  4. Lacour-Gogny-Goubert, Antoine. Développement et étude d’alliages réfractaires complexes, à microstructure cubique centrée et orthorhombique, pour des applications aéronautiques. Diss. Université Paris-Est, 2020.
  5. Durham, Timothy. Toward comprehensive characterization of chromatin state. 2019.
  6. Cremer, Pascal. Algorithms for Cell Layout. PhD Dissertation. Universitäts-und Landesbibliothek Bonn, 2019.
  7. Ding, Xinqiang. Methodological Advances for Drug Discovery and Protein Engineering. 2018.
  8. Weinstein, Bryan T. Microbial Evolutionary Dynamics and Transport on Solid and Liquid Substrates. Diss. 2018.
  9. Triller, Thomas. Diffusive properties of the system water/ethanol/triethylene glycol in microgravity and ground conditions. (Disseration, 2018)
  10. Rueda Corredor, Henry Steven. Desarrollo e implementación de un software que permita visualizar y procesar los datos de rayos X de microsonda para análisis petrológicos, mineralógicos y geoquímicos. (2016).