MPMC

Massively Parallel Monte Carlo

MPMC logo
Original author(s)	Jon Belof (currently at Lawrence Livermore National Laboratory), MPMC development team, University of South Florida
Developer(s)	University of South Florida
Initial release	2007; 17 years ago (2007)
Repository	github.com/mpmccode/mpmc
Written in	NVidia CUDA
Available in	English
Type	Monte Carlo simulation
License	GPL 3
Website	code.google.com/p/mpmc/

Massively Parallel Monte Carlo (MPMC) is a

MPMC was originally written by Jon Belof (then at the University of South Florida) in 2007 for applications toward the development of nanomaterials for hydrogen storage.^[5] Since then MPMC has been released as an open source project and been extended to include a number of simulation methods relevant to statistical physics. The code is now further maintained by a group of researchers (Christian Cioce, Keith McLaughlin, Brant Tudor, Adam Hogan and Brian Space) in the Department of Chemistry and SMMARTT Materials Research Center at the University of South Florida.

Features

MPMC is optimized for the study of nanoscale interfaces. MPMC supports simulation of Coulomb and Lennard-Jones systems, many-body polarization,

MPMC has been applied to the scientific challenges of discovering nanomaterials for clean energy applications,[15] capturing and sequestering carbon dioxide,^[16] designing tailored organometallic materials for chemical weapons detection,^[17] and quantum effects in cryogenic hydrogen for spacecraft propulsion.^[18] Also simulated and published have been the solid, liquid, supercritical, and gaseous states of matter of nitrogen (N₂)^[11] and carbon dioxide (CO₂).^[12]

See also

References