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• The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials
  2022 · 102 citations
• Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic size
  2023 · 44 citations
• Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials
  2024 · 27 citations
• Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
  2022 · 22 citations
• Predicting emergence of crystals from amorphous matter with deep learning
  2023 · 3 citations
• Complexity of Many-Body Interactions in Transition Metals via Machine-Learned Force Fields from the TM23 Data Set
  2023 · 2 citations
• Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials
  2023 · 1 citations
• Generative Hierarchical Materials Search
  2024 · 1 citations
• Multitask machine learning of collective variables for enhanced sampling of rare events
  2020