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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)