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• Score-Based Generative Models for Molecule Generation
  2022 · 7 citations
• Generalizable data-driven turbulence closure modeling on unstructured grids with differentiable physics
  2023 · 6 citations
• AutoMat: Accelerated Computational Electrochemical systems Discovery
  2020 · 2 citations
• Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning
  2021 · 2 citations
• Foundation Models for Discovery and Exploration in Chemical Space
  2025 · 1 citations
• Differentiable physics-enabled closure modeling for Burgers' turbulence
  2022 · 1 citations
• Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials
  2023 · 1 citations
• Importance of equivariant and invariant symmetries for fluid flow modeling
  2023 · 1 citations
• Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning
  2020
• Chemellia: An Ecosystem for Atomistic Scientific Machine Learning
  2023
• Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
  2023