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Peter Eastman

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Papers (4)

  1. Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations physics.chem-ph · 2026 · author #1
  2. Predicting Gene Expression Between Species with Neural Networks q-bio.GN · 2019 · author #1
  3. Predicting Toxicity from Gene Expression with Neural Networks q-bio.GN · 2019 · author #1
  4. Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss stat.ML · 2018 · author #4

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