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D\'avid P\'eter Kov\'acs — most-cited papers & profile · AI for Science
← authors
·
overview
D\'avid P\'eter Kov\'acs
4
papers ·
470
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
2022 · 293 citations
The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials
2022 · 102 citations
MACE-OFF: Transferable Short Range Machine Learning Force Fields for Organic Molecules
2023 · 66 citations
Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials
2022 · 9 citations
Top co-authors
G\'abor Cs\'anyi
· 4
Christoph Ortner
· 3
Ilyes Batatia
· 3
Gregor N. C. Simm
· 2
Albert Musaelian
· 1
Boris Kozinsky
· 1
Cas van der Oord
· 1
Daniel J. Cole
· 1
Ioan-Bogdan Magd\u{a}u
· 1
J. Harry Moore
· 1
Joshua T. Horton
· 1
Matthias Sachs
· 1
Topics
Chemistry
Materials
Physics ML
Drug Discovery