Peter K. Eastman
300 Grattan Street
Parkville, NSW 3050, Australia
Parkville, NSW 3050, Australia
Last Updated: 09/26/2026
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Found 56 publications
Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations.
Journal: Journal of chemical theory and computation
Published: June 05, 2026
Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning.
Journal: Journal of chemical theory and computation
Published: September 25, 2024
Palliative care clinical trials research in regional settings: green fields of opportunity.
Journal: Internal medicine journal
Published: June 06, 2024
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations.
Journal: Journal of chemical theory and computation
Published: May 14, 2024
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations.
Journal: ArXiv
Published: March 11, 2024
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials.
Journal: The journal of physical chemistry. B
Published: December 28, 2023
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials.
Journal: ArXiv
Published: November 21, 2023
Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors.
Journal: Science (New York, N.Y.)
Published: November 09, 2023
NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics.
Journal: Journal of chemical information and modeling
Published: September 11, 2023
Dying at home: enablers and barriers.
Journal: International journal of palliative nursing
Published: July 21, 2023
Does cancer type and adjuvant analgesic prescribing influence opioid dose?-a retrospective cross-sectional study.
Journal: Annals of palliative medicine
Published: November 14, 2022
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials.
Journal: Scientific data
Published: October 05, 2022
Last Updated: 09/26/2026