Dávid Péter Kovács
机构:University of Cambridge · ORCID:0000-0002-0854-2635
发表论文 30 篇 · 总被引 2612 次 · h-index 16
代表论文
- MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields (2022 · arXiv (Cornell University) · 被引 303)
- A foundation model for atomistic materials chemistry (2025 · The Journal of Chemical Physics · 被引 292)
- A foundation model for atomistic materials chemistry (2023 · arXiv (Cornell University) · 被引 249)
- MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields (2022 · 被引 234)
- MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Molecules (2025 · Journal of the American Chemical Society · 被引 216)
- Evaluation of the MACE force field architecture: From medicinal chemistry to materials science (2023 · The Journal of Chemical Physics · 被引 192)