Publications

2025

  1. Scalable emulation of protein equilibrium ensembles with generative deep learning
    S Lewis, T Hempel, J Jimenez-Luna, M Gastegger, Yu Xie, A Foong, V Satorras, and  others
    Science, 2025
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    Exploring the design space of machine-learning models for quantum chemistry with a fully differentiable framework
    Divya Suman, Jigyasa Nigam, Sandra Saade, Paolo Pegolo, Hanna Tuerk, Xing Zhang, Garnet Kin Chan, and Michele Ceriotti
    Journal of Chemical Theory and Computation, 2025

2024

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    Integrating symmetry and physical constraints into atomic-scale machine learning
    Jigyasa Nigam
    2024
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    Expanding density-correlation machine learning representations for anisotropic coarse-grained particles
    Arthur Lin, Kevin K Huguenin-Dumittan, Yong-Cheol Cho, Jigyasa Nigam, and Rose K Cersonsky
    The Journal of Chemical Physics, 2024
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    Electronic Excited States from Physically Constrained Machine Learning
    Edoardo Cignoni, Divya Suman, Jigyasa Nigam, Lorenzo Cupellini, Benedetta Mennucci, and Michele Ceriotti
    ACS Central Science, 2024
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    Completeness of atomic structure representations
    Jigyasa Nigam, Sergey N Pozdnyakov, Kevin K Huguenin-Dumittan, and Michele Ceriotti
    APL Machine Learning, 2024

2022

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    Equivariant representations for molecular Hamiltonians and N-center atomic-scale properties
    Jigyasa Nigam, Michael J Willatt, and Michele Ceriotti
    The Journal of Chemical Physics, 2022
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    Unified theory of atom-centered representations and message-passing machine-learning schemes
    Jigyasa Nigam, Sergey Pozdnyakov, Guillaume Fraux, and Michele Ceriotti
    The Journal of Chemical Physics, 2022
  3. Roadmap on Machine Learning in Electronic Structure
    H J Kulik, T Hammerschmidt, J Schmidt, S Botti, M A L Marques, M Boley, M Scheffler, M Todorović, P Rinke, C Oses, A Smolyanyuk, S Curtarolo, A Tkatchenko, A P Bartók, S Manzhos, M Ihara, T Carrington, J Behler, O Isayev, M Veit, A Grisafi, J Nigam, M Ceriotti, K T Schütt, J Westermayr, M Gastegger, R J Maurer, B Kalita, K Burke, R Nagai, R Akashi, O Sugino, J Hermann, F Noé, S Pilati, C Draxl, M Kuban, S Rigamonti, M Scheidgen, M Esters, D Hicks, C Toher, P V Balachandran, I Tamblyn, S Whitelam, C Bellinger, and L M Ghiringhelli
    Electron. Struct., Jun 2022

2021

  1. Optimal Radial Basis for Density-Based Atomic Representations
    Alexander Goscinski, Félix Musil, Sergey Pozdnyakov, Jigyasa Nigam, and Michele Ceriotti
    J. Chem. Phys., Jun 2021
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    Multi-scale approach for the prediction of atomic scale properties
    Andrea Grisafi, Jigyasa Nigam, and Michele Ceriotti
    Chemical Science, Jun 2021

2020

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    Recursive evaluation and iterative contraction of N-body equivariant features
    Jigyasa Nigam, Sergey Pozdnyakov, and Michele Ceriotti
    The Journal of Chemical Physics, Jun 2020