Professor

Publications

Resonances in reflective Hamiltonian Monte Carlo.
N Kroupa, G Csányi, W Handley
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
(2025)
111
Resonances in reflective Hamiltonian Monte Carlo
N Kroupa, G Csányi, W Handley
(2025)
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE
J Firoz, F Pellegrini, M Geiger, D Hsu, JA Bilbrey, H-Y Chou, M Stadler, M Hoehnerbach, T Wang, D Lin, E Kucukbenli, HW Sprueill, I Batatia, SS Xantheas, M Lee, C Mundy, G Csanyi, JS Smith, P Sadayappan, S Choudhury
(2025)
Artificial intelligence for advanced functional materials: exploring current and future directions
C Malica, KS Novoselov, AS Barnard, SV Kalinin, SR Spurgeon, K Reuter, M Alducin, VL Deringer, G Csányi, N Marzari, S Huang, G Cuniberti, Q Deng, P Ordejón, I Cole, K Choudhary, K Hippalgaonkar, R Zhu, OA von Lilienfeld, M Hibat-Allah, J Carrasquilla, G Cisotto, A Zancanaro, W Wenzel, AC Ferrari, A Ustyuzhanin, S Roche
Jphys Materials
(2025)
8
Efficient exploration of reaction pathways using reaction databases and active learning
D Kuryla, G Csányi, ACT van Duin, A Michaelides
J Chem Phys
(2025)
162
A practical guide to machine learning interatomic potentials -- Status and future
R Jacobs, D Morgan, S Attarian, J Meng, C Shen, Z Wu, CY Xie, JH Yang, N Artrith, B Blaiszik, G Ceder, K Choudhary, G Csanyi, ED Cubuk, B Deng, R Drautz, X Fu, J Godwin, V Honavar, O Isayev, A Johansson, B Kozinsky, S Martiniani, SP Ong, I Poltavsky, K Schmidt, S Takamoto, A Thompson, J Westermayr, BM Wood
(2025)
A practical guide to machine learning interatomic potentials – Status and future
R Jacobs, D Morgan, S Attarian, J Meng, C Shen, Z Wu, CY Xie, JH Yang, N Artrith, B Blaiszik, G Ceder, K Choudhary, G Csanyi, ED Cubuk, B Deng, R Drautz, X Fu, J Godwin, V Honavar, O Isayev, A Johansson, S Martiniani, SP Ong, I Poltavsky, K Schmidt, S Takamoto, AP Thompson, J Westermayr, BM Wood, B Kozinsky
Current Opinion in Solid State and Materials Science
(2025)
35
Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023
I Poltavsky, A Charkin-Gorbulin, M Puleva, G Fonseca, I Batatia, NJ Browning, S Chmiela, M Cui, JT Frank, S Heinen, B Huang, S Käser, A Kabylda, D Khan, C Müller, AJA Price, K Riedmiller, K Töpfer, TW Ko, M Meuwly, M Rupp, G Csányi, OA von Lilienfeld, JT Margraf, K-R Müller, A Tkatchenko
Chemical science
(2025)
16
Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion
Y Wang, G Csanyi, C Ortner
(2025)
Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023.
I Poltavsky, M Puleva, A Charkin-Gorbulin, G Fonseca, I Batatia, NJ Browning, S Chmiela, M Cui, JT Frank, S Heinen, B Huang, S Käser, A Kabylda, D Khan, C Müller, AJA Price, K Riedmiller, K Töpfer, TW Ko, M Meuwly, M Rupp, G Csányi, O Anatole von Lilienfeld, JT Margraf, K-R Müller, A Tkatchenko
Chemical science
(2025)
16

Research Interest Group

Telephone number

01223 762877

Email address