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Dávid Péter Kovács
Dávid Péter Kovács
Graduate Student, University of Cambridge
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
MACE: Higher order equivariant message passing neural networks for fast and accurate force fields
I Batatia, DP Kovács, GNC Simm, C Ortner, G Csányi
Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022
2102022
Validation of the CoGEF method as a predictive tool for polymer mechanochemistry
IM Klein, CC Husic, DP Kovács, NJ Choquette, MJ Robb
Journal of the American Chemical Society 142 (38), 16364-16381, 2020
1342020
Linear atomic cluster expansion force fields for organic molecules: beyond rmse
DP Kovács, C Oord, J Kucera, AEA Allen, DJ Cole, C Ortner, G Csányi
Journal of chemical theory and computation 17 (12), 7696-7711, 2021
962021
The design space of e (3)-equivariant atom-centered interatomic potentials
I Batatia, S Batzner, DP Kovács, A Musaelian, GNC Simm, R Drautz, ...
arXiv preprint arXiv:2205.06643, 2022
762022
Quantitative interpretation explains machine learning models for chemical reaction prediction and uncovers bias
DP Kovács, W McCorkindale, AA Lee
Nature Communications 12 (1), 1-9, 2021
652021
Hyperactive learning for data-driven interatomic potentials
C van der Oord, M Sachs, DP Kovács, C Ortner, G Csányi
npj Computational Materials 9 (1), 168, 2023
322023
Evaluation of the MACE force field architecture: From medicinal chemistry to materials science
G Kovács, Dávid Péter and Batatia, Ilyes and Arany, Eszter Sára and Csányi
The Journal of Chemical Physics 159 (4), 044118, 2023
302023
A foundation model for atomistic materials chemistry
I Batatia, P Benner, Y Chiang, AM Elena, DP Kovács, J Riebesell, ...
arXiv preprint arXiv:2401.00096, 2023
142023
Tensor-reduced atomic density representations
JP Darby, DP Kovács, I Batatia, MA Caro, GLW Hart, C Ortner, G Csányi
Physical Review Letters 131 (2), 028001, 2023
142023
Mace-off23: Transferable machine learning force fields for organic molecules
DP Kovács, JH Moore, NJ Browning, I Batatia, JT Horton, V Kapil, ...
arXiv preprint arXiv:2312.15211, 2023
82023
First-principles spectroscopy of aqueous interfaces using machine-learned electronic and quantum nuclear effects
V Kapil, DP Kovács, G Csányi, A Michaelides
Faraday Discussions 249, 50-68, 2024
52024
Zero shot molecular generation via similarity kernels
R Elijošius, F Zills, I Batatia, SW Norwood, DP Kovács, C Holm, G Csányi
arXiv preprint arXiv:2402.08708, 2024
32024
Research data supporting" MACE-OFF23"
H Moore, DP Kovacs, NJ Browning, I Batatia, JT Horton, V Kapil, W Witt, ...
2024
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