- Completeness of Atomic Structure Representations, J Nigam, S Pozdnyakov, K K Huguenin-
Dumittan, M Ceriotti, (2024)
- Electronic excited states from physically-constrained machine learning, E Cignoni, D Suman,
J Nigam, L Cupellini, B Mennucci, M Ceriotti (Submitted, 2023)
- Integrated machine learning models: electronic structure accuracy beyond local potentials, part of Roadmap on machine learning in electronic structure:, M Veit, A Grisafi, J Nigam, M Ceriotti (2022)
- Unified theory of Unified theory of atom-centered representations and message-passing machine-learning schemes,J Nigam, S Pozdnyakov, G Fraux, M Ceriotti (2022)
- Equivariant representations for molecular Hamiltonians and N-center atomic-scale properties, J Nigam, M J Willatt, M Ceriotti (2022)
- Optimal radial basis for density-based atomic representations, A Goscinski, F Musil, S Pozdynakov, J Nigam, M Ceriotti (2021)
- Multi-scale approach for the prediction of atomic scale properties, A Grisafi, J Nigam, M Ceriotti (2021)
- Recursive evaluation and iterative contraction of N-body equivariant features, J Nigam, S Pozdnyakov, M Ceriotti (2020)
- A Quest for Identity: From Personal to Political, S Nigam, J Nigam (2016)