publications

2024

1. JCTC

   

   Machine learning of a density functional for anisotropic patchy particles

   Alessandro Simon, Jens Weimar, Georg Martius, and Martin Oettel

   Journal of Chemical Theory and Computation, 2024

   DOI Bib

   @article{simon2024machine,
     doi = {10.1021/acs.jctc.3c01238},
     title = {Machine learning of a density functional for anisotropic patchy particles},
     author = {Simon, Alessandro and Weimar, Jens and Martius, Georg and Oettel, Martin},
     journal = {Journal of Chemical Theory and Computation},
     volume = {20},
     number = {3},
     pages = {1062--1077},
     year = {2024},
     publisher = {ACS Publications},
   }

2. arXiv

   

   Machine Learning approaches to classical density functional theory

   Alessandro Simon, and Martin Oettel

   arXiv preprint arXiv:2406.07345, 2024

   HTML
3. IEEE

   

   SRBench++: principled benchmarking of symbolic regression with domain-expert interpretation

   FO Franca, M Virgolin, M Kommenda, MS Majumder, and 7 more authors

   IEEE Transactions on volutionary Computation, 2024

   DOI

2023

1. arXiv

   

   Interpretable symbolic regression for data science: analysis of the 2022 competition

   Fabrı́cio Olivetti França, Marco Virgolin, Michael Kommenda, Maimuna S Majumder, and 7 more authors

   arXiv preprint arXiv:2304.01117, 2023

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2021

1. PhysA

   

   Time-dependent condensate fraction in an analytical model

   A Simon, and G Wolschin

   Physica A: Statistical Mechanics and its Applications, 2021

   DOI

2018

1. PhysRevC

   

   Examining nonextensive statistics in relativistic heavy-ion collisions

   A Simon, and G Wolschin

   Physical Review C, 2018

   DOI