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• A foundation model for atomistic materials chemistry
  2024 · 246 citations
• Robustness of Local Predictions in Atomistic Machine Learning Models
  2023 · 32 citations
• Exploring the configurational space of amorphous graphene with machine-learned atomic energies
  2022 · 23 citations
• Synthetic pre-training for neural-network interatomic potentials
  2023 · 23 citations
• Accelerated First-Principles Exploration of Structure and Reactivity in Graphene Oxide
  2024 · 10 citations
• Full-cycle device-scale simulations of memory materials with a tailored atomic-cluster-expansion potential
  2025 · 9 citations
• Hyperparameter Optimization for Atomic Cluster Expansion Potentials
  2024 · 5 citations
• Distillation of atomistic foundation models across architectures and chemical domains
  2025 · 4 citations
• The structure and topology of an amorphous metal-organic framework
  2025 · 3 citations