P
Peter Eastman
Researcher at Stanford University
Publications - 35
Citations - 6635
Peter Eastman is an academic researcher from Stanford University. The author has contributed to research in topics: Molecular dynamics & Computer science. The author has an hindex of 21, co-authored 33 publications receiving 4561 citations.
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Journal ArticleDOI
CHARMM-GUI Input Generator for NAMD, Gromacs, Amber, Openmm, and CHARMM/OpenMM Simulations using the CHARMM36 Additive Force Field
Jumin Lee,Xi Cheng,Jason M. Swails,Min Sun Yeom,Peter Eastman,Justin A. Lemkul,Shuai Wei,Joshua Buckner,Jong Cheol Jeong,Yifei Qi,Sunhwan Jo,Vijay S. Pande,David A. Case,Charles L. Brooks,Alexander D. MacKerell,Jeffery B. Klauda,Wonpil Im +16 more
TL;DR: The optimal simulation protocol for each program has been implemented in CHARMM-GUI and is expected to be applicable to the remainder of the additive C36 FF including the proteins, nucleic acids, carbohydrates, and small molecules.
Journal ArticleDOI
OpenMM 7: Rapid development of high performance algorithms for molecular dynamics.
Peter Eastman,Jason M. 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 +12 more
TL;DR: OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility, which makes it an ideal tool for researchers developing new simulation methods, and also allows those new methods to be immediately available to the larger community.
Journal ArticleDOI
OpenMM 4: A reusable, extensible, hardware independent library for high performance molecular simulation
Peter Eastman,Mark S. Friedrichs,John D. Chodera,Randall J. Radmer,Christopher M. Bruns,Joy P. Ku,Kyle A. Beauchamp,Thomas J. Lane,Lee-Ping Wang,Diwakar Shukla,Tony Tye,Mike Houston,Timo Stich,Christoph Klein,Michael R. Shirts,Vijay S. Pande +15 more
TL;DR: OpenMM is a software toolkit for performing molecular simulations on a range of high performance computing architectures that was designed to be extensible, so new hardware architectures can be accommodated and new functionality can be easily added.
Journal ArticleDOI
Accelerating Molecular Dynamic Simulation on Graphics Processing Units
Mark S. Friedrichs,Peter Eastman,Vishal Vaidyanathan,Mike Houston,Scott LeGrand,Adam L. Beberg,Daniel L. Ensign,Christopher M. Bruns,Vijay S. Pande +8 more
TL;DR: A complete implementation of all‐atom protein molecular dynamics running entirely on a graphics processing unit (GPU), including all standard force field terms, integration, constraints, and implicit solvent is described.
Journal ArticleDOI
Systematic improvement of a classical molecular model of water.
Lee-Ping Wang,Teresa Head-Gordon,Jay W. Ponder,Pengyu Ren,John D. Chodera,Peter Eastman,Todd J. Martínez,Vijay S. Pande +7 more
TL;DR: iAMOEBA is a highly accurate model for water in the solid, liquid, and gas phases, with the ability to fully capture the effects of electronic polarization and predict a comprehensive set of water properties beyond the training data set including the phase diagram.