Peter Eastman

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Machine Learning

Molecular Dynamics

Top Venues

The journal of physical chemistry. B

Scientific data

Journal of chemical theory and computation

PLoS computational biology

This page only lists publications with an associated author ORCID identifier.

Publications

Raul P Pelaez, Guillem Simeon, Raimondas Galvelis, Antonio Mirarchi, Peter Eastman, Stefan Doerr, Philipp Thölke, Thomas E Markland, Gianni De Fabritiis
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations. Journal of chemical theory and computation 20 (10) (2024)
Raul P Pelaez, Guillem Simeon, Raimondas Galvelis, Antonio Mirarchi, Peter Eastman, Stefan Doerr, Philipp Thölke, Thomas E Markland, Gianni De Fabritiis
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations. Journal of chemical theory and computation (2024)
Raul P Pelaez, Guillem Simeon, Raimondas Galvelis, Antonio Mirarchi, Peter Eastman, Stefan Doerr, Philipp Thölke, Thomas E Markland, Gianni De Fabritiis
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations. Journal of chemical theory and computation 20 (10) (2024)
Raul P Pelaez, Guillem Simeon, Raimondas Galvelis, Antonio Mirarchi, Peter Eastman, Stefan Doerr, Philipp Thölke, Thomas E Markland, Gianni De Fabritiis
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations. Journal of chemical theory and computation (2024)
Raimondas Galvelis, Alejandro Varela-Rial, Stefan Doerr, Roberto Fino, Peter Eastman, Thomas E Markland, John D Chodera, Gianni De Fabritiis
NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics. Journal of chemical information and modeling (2023)
Peter Eastman, Raimondas Galvelis, Raul P Pelaez, Charlles R A Abreu, Stephen E Farr, Emilio Gallicchio, Anton Gorenko, Michael M Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A Mitchell, Vijay S Pande, João P G L M Rodrigues, Jaime Rodríguez-Guerra Pedregal, Andrew C Simmonett, Sukrit Singh, Jason Swails, Philip Turner, Yuanqing Wang, Ivy Zhang, John D Chodera, Gianni De Fabritiis, Thomas E Markland
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The journal of physical chemistry. B 128 (1) (2023)
Peter Eastman, Pavan Kumar Behara, David L Dotson, Raimondas Galvelis, John E Herr, Joshua T Horton, Yuezhi Mao, John D Chodera, Benjamin P Pritchard, Yuanqing Wang, Gianni De Fabritiis, Thomas E Markland
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials. Scientific data 10 (1) (2023)
Peter Eastman, Raimondas Galvelis, Raul P Pelaez, Charlles R A Abreu, Stephen E Farr, Emilio Gallicchio, Anton Gorenko, Michael M Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A Mitchell, Vijay S Pande, João P G L M Rodrigues, Jaime Rodríguez-Guerra Pedregal, Andrew C Simmonett, Sukrit Singh, Jason Swails, Philip Turner, Yuanqing Wang, Ivy Zhang, John D Chodera, Gianni De Fabritiis, Thomas E Markland
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The journal of physical chemistry. B 128 (1) (2023)
Peter Eastman, Raimondas Galvelis, Raul P Pelaez, Charlles R A Abreu, Stephen E Farr, Emilio Gallicchio, Anton Gorenko, Michael M Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A Mitchell, Vijay S Pande, João P G L M Rodrigues, Jaime Rodríguez-Guerra Pedregal, Andrew C Simmonett, Sukrit Singh, Jason Swails, Philip Turner, Yuanqing Wang, Ivy Zhang, John D Chodera, Gianni De Fabritiis, Thomas E Markland
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The journal of physical chemistry. B 128 (1) (2023)
Peter Eastman, Raimondas Galvelis, Raul P Pelaez, Charlles R A Abreu, Stephen E Farr, Emilio Gallicchio, Anton Gorenko, Michael M Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A Mitchell, Vijay S Pande, João P G L M Rodrigues, Jaime Rodríguez-Guerra Pedregal, Andrew C Simmonett, Sukrit Singh, Jason Swails, Philip Turner, Yuanqing Wang, Ivy Zhang, John D Chodera, Gianni De Fabritiis, Thomas E Markland
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The journal of physical chemistry. B 128 (1) (2023)
Peter Eastman, Raimondas Galvelis, Raul P Pelaez, Charlles R A Abreu, Stephen E Farr, Emilio Gallicchio, Anton Gorenko, Michael M Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A Mitchell, Vijay S Pande, João P G L M Rodrigues, Jaime Rodríguez-Guerra Pedregal, Andrew C Simmonett, Sukrit Singh, Jason Swails, Philip Turner, Yuanqing Wang, Ivy Zhang, John D Chodera, Gianni De Fabritiis, Thomas E Markland
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The journal of physical chemistry. B (2023)
Peter Eastman, Raimondas Galvelis, Raul P Pelaez, Charlles R A Abreu, Stephen E Farr, Emilio Gallicchio, Anton Gorenko, Michael M Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A Mitchell, Vijay S Pande, João P G L M Rodrigues, Jaime Rodríguez-Guerra Pedregal, Andrew C Simmonett, Sukrit Singh, Jason Swails, Philip Turner, Yuanqing Wang, Ivy Zhang, John D Chodera, Gianni De Fabritiis, Thomas E Markland
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The journal of physical chemistry. B 128 (1) (2023)
Peter Eastman, Pavan Kumar Behara, David L Dotson, Raimondas Galvelis, John E Herr, Joshua T Horton, Yuezhi Mao, John D Chodera, Benjamin P Pritchard, Yuanqing Wang, Gianni De Fabritiis, Thomas E Markland
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials. Scientific data 10 (1) (2023)
Peter Eastman, Raimondas Galvelis, Raul P Pelaez, Charlles R A Abreu, Stephen E Farr, Emilio Gallicchio, Anton Gorenko, Michael M Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A Mitchell, Vijay S Pande, João P G L M Rodrigues, Jaime Rodríguez-Guerra Pedregal, Andrew C Simmonett, Sukrit Singh, Jason Swails, Philip Turner, Yuanqing Wang, Ivy Zhang, John D Chodera, Gianni De Fabritiis, Thomas E Markland
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The journal of physical chemistry. B (2023)
Peter Eastman, Pavan Kumar Behara, David L Dotson, Raimondas Galvelis, John E Herr, Joshua T Horton, Yuezhi Mao, John D Chodera, Benjamin P Pritchard, Yuanqing Wang, Gianni De Fabritiis, Thomas E Markland
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials. Scientific data 10 (1) (2023)
Peter Eastman, Pavan Kumar Behara, David L Dotson, Raimondas Galvelis, John E Herr, Joshua T Horton, Yuezhi Mao, John D Chodera, Benjamin P Pritchard, Yuanqing Wang, Gianni De Fabritiis, Thomas E Markland
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials. Scientific data 10 (1) (2023)
Peter Eastman, Pavan Kumar Behara, David L Dotson, Raimondas Galvelis, John E Herr, Joshua T Horton, Yuezhi Mao, John D Chodera, Benjamin P Pritchard, Yuanqing Wang, Gianni De Fabritiis, Thomas E Markland
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials. Scientific data 10 (1) (2023)
Peter Eastman, Pavan Kumar Behara, David L Dotson, Raimondas Galvelis, John E Herr, Joshua T Horton, Yuezhi Mao, John D Chodera, Benjamin P Pritchard, Yuanqing Wang, Gianni De Fabritiis, Thomas E Markland
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials. Scientific data 10 (1) (2023)
Peter Eastman, Raimondas Galvelis, Raul P Pelaez, Charlles R A Abreu, Stephen E Farr, Emilio Gallicchio, Anton Gorenko, Michael M Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A Mitchell, Vijay S Pande, João P G L M Rodrigues, Jaime Rodríguez-Guerra Pedregal, Andrew C Simmonett, Sukrit Singh, Jason Swails, Philip Turner, Yuanqing Wang, Ivy Zhang, John D Chodera, Gianni De Fabritiis, Thomas E Markland
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The journal of physical chemistry. B 128 (1) (2023)
Peter Eastman, Jade Shi, Bharath Ramsundar, Vijay S Pande
Solving the RNA design problem with reinforcement learning. PLoS computational biology 14 (6) (2018)
Peter Eastman, Jason Swails, John D Chodera, Robert T McGibbon, Yutong Zhao, Kyle A Beauchamp, Lee-Ping Wang, Andrew C Simmonett, Matthew P Harrigan, Chaya D Stern, Rafal P Wiewiora, Bernard R Brooks, Vijay S Pande
OpenMM 7: Rapid development of high performance algorithms for molecular dynamics. PLoS computational biology 13 (7) (2017)