2013 - Fellow of American Physical Society (APS) Citation For creating the Largescale AtomicMolecular Massively Parallel Simulator LAMMPS molecular dynamics package, opensource materials modeling software that has become widelyused by physicists and materials scientist worldwide
His primary areas of investigation include Molecular dynamics, Statistical physics, Condensed matter physics, Dynamical heterogeneity and Parallel computing. His Molecular dynamics research integrates issues from Molecular physics, Length scale and Nanotechnology. The Statistical physics study combines topics in areas such as Algorithm, Continuum mechanics, Computational mechanics and Continuum.
The concepts of his Condensed matter physics study are interwoven with issues in Indentation, Supercooling, Centrosymmetry and Contact area. His Supercooling research is multidisciplinary, incorporating elements of Correlation function, Lennard-Jones potential and Exponential function. His Dynamical heterogeneity research is multidisciplinary, incorporating perspectives in Particle and Relaxation.
His main research concerns Molecular dynamics, Statistical physics, Computational science, Parallel computing and Mechanics. Steven J. Plimpton does research in Molecular dynamics, focusing on Lennard-Jones potential specifically. His Statistical physics research includes elements of Discretization and Peridynamics.
His work carried out in the field of Computational science brings together such families of science as Interface, Parallel processing and Massively parallel. The various areas that Steven J. Plimpton examines in his Parallel computing study include Computation and Connected component. His Mechanics study combines topics from a wide range of disciplines, such as Slip and Classical mechanics.
The scientist’s investigation covers issues in Mechanics, Direct simulation Monte Carlo, Neuromorphic engineering, Computational science and Resistive random-access memory. Steven J. Plimpton combines subjects such as Dissipative system and Degrees of freedom with his study of Mechanics. His work focuses on many connections between Neuromorphic engineering and other disciplines, such as Energy, that overlap with his field of interest in Backpropagation, Memory management, Noise, Electrical engineering and Analog computer.
His Computational science research is multidisciplinary, relying on both Scalability and Supercomputer. Steven J. Plimpton has researched Statistical physics in several fields, including Parallel algorithm, Interatomic potential, Molecular dynamics and Discrete particle. His Molecular dynamics research incorporates elements of Renormalization, Boundary value problem, Cluster analysis, Classical mechanics and Speedup.
Direct simulation Monte Carlo, Algorithm, Energy, Artificial neural network and Neuromorphic engineering are his primary areas of study. His Direct simulation Monte Carlo research incorporates elements of Monatomic gas, Statistical physics, Continuum, Grid cell and Fundamental physics. His research in Statistical physics intersects with topics in Perturbation, Shock wave, Richtmyer–Meshkov instability, Instability and Mach number.
He integrates several fields in his works, including Algorithm and Scaling. His Energy research incorporates themes from Power, Linearity, Battery and Analog computer. His research integrates issues of Ideal, Matrix multiplication, Electrical engineering and Computer data storage in his study of Neuromorphic engineering.
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Fast parallel algorithms for short-range molecular dynamics
Journal of Computational Physics (1995)
Dislocation nucleation and defect structure during surface indentation
Cynthia L. Kelchner;S. J. Plimpton;J. C. Hamilton.
Physical Review B (1998)
STRINGLIKE COOPERATIVE MOTION IN A SUPERCOOLED LIQUID
Claudio Donati;Jack F. Douglas;Walter Kob;Steven J. Plimpton.
Physical Review Letters (1998)
DYNAMICAL HETEROGENEITIES IN A SUPERCOOLED LENNARD-JONES LIQUID
Walter Kob;Claudio Donati;Steven J. Plimpton;Peter H. Poole.
Physical Review Letters (1997)
Granular flow down an inclined plane: Bagnold scaling and rheology
Leonardo E. Silbert;Deniz Ertaş;Gary S. Grest;Thomas C. Halsey.
Physical Review E (2001)
General formulation of pressure and stress tensor for arbitrary many-body interaction potentials under periodic boundary conditions.
Aidan P. Thompson;Steven J. Plimpton;William Mattson.
Journal of Chemical Physics (2009)
Spatial correlations of mobility and immobility in a glass-forming Lennard-Jones liquid
Claudio Donati;Sharon C. Glotzer;Peter H. Poole;Walter Kob.
Physical Review E (1999)
Nonlinear magnetohydrodynamics simulation using high-order finite elements
C. R. Sovinec;A. H. Glasser;T. A. Gianakon;D. C. Barnes.
Journal of Computational Physics (2004)
Implementing molecular dynamics on hybrid high performance computers - short range forces
W. Michael Brown;Peng Wang;Steven J. Plimpton;Arnold N. Tharrington.
Computer Physics Communications (2011)
Equilibration of long chain polymer melts in computer simulations
Rolf Auhl;Ralf Everaers;Gary S. Grest;Kurt Kremer.
Journal of Chemical Physics (2003)
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