Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mohammad Soroush Barhaghi"'
Autor:
Younes Nejahi, Mohammad Soroush Barhaghi, Jason Mick, Brock Jackman, Kamel Rushaidat, Yuanzhe Li, Loren Schwiebert, Jeffrey Potoff
Publikováno v:
SoftwareX, Vol 9, Iss , Pp 20-27 (2019)
GPU Optimized Monte Carlo (GOMC) is open-source software for simulating molecular systems using the Metropolis Monte Carlo algorithm. It supports simulations in a variety of ensembles, which include canonical, isothermal–isobaric, grand canonical,
Externí odkaz:
https://doaj.org/article/4a046e4bbe4a43049a620b38eaf49482
Publikováno v:
SoftwareX, Vol 13, Iss , Pp 100627- (2021)
Major updates in version 2.70 of GOMC include new Monte Carlo moves to enhance the sampling of phase space, such as Molecular Exchange Monte Carlo (MEMC), configurational-bias for molecules that contain rings, the crankshaft move, and a force/torque-
Externí odkaz:
https://doaj.org/article/5417a4ef5dc749c8b45ae0a5d291be6e
Autor:
Mohammad Soroush Barhaghi, Brad Crawford, Gregory Schwing, David J. Hardy, John E. Stone, Loren Schwiebert, Jeffrey Potoff, Emad Tajkhorshid
Publikováno v:
Journal of Chemical Theory and Computation. 18:4983-4994
py-MCMD, an open-source Python software, provides a robust workflow layer that manages communication of relevant system information between the simulation engines NAMD and GOMC and generates coherent thermodynamic properties and trajectories for anal
Publikováno v:
Molecular Physics. 117:3827-3839
In order to understand the role of fluorination on the interactions and partitioning of alcohols in aqueous and organic environments, isobaric-isothermal ensemble Monte Carlo simulations are used to determine environmental predictors, such as free en
Publikováno v:
Fluid Phase Equilibria. 486:106-118
The molecular exchange Monte Carlo (MEMC) method is extended to Gibbs ensemble Monte Carlo (GEMC). The utility of the MEMC method is demonstrated through the calculation of the free energies of transfer of n-alkanes from vapor into liquid 1-octanol,
Publikováno v:
Journal of Chemical & Engineering Data. 64:3701-3717
Histogram reweighting (HR) is a standard approach for converting grand canonical Monte Carlo (GCMC) simulation output into vapor–liquid coexistence properties (saturated liquid density, ρliqsat, sa...
Autor:
Brock Jackman, Younes Nejahi, Kamel Rushaidat, Jeffrey J. Potoff, Loren Schwiebert, Mohammad Soroush Barhaghi, Yuanzhe Li, Jason R. Mick
Publikováno v:
SoftwareX, Vol 9, Iss, Pp 20-27 (2019)
GPU Optimized Monte Carlo (GOMC) is open-source software for simulating molecular systems using the Metropolis Monte Carlo algorithm. It supports simulations in a variety of ensembles, which include canonical, isothermal–isobaric, grand canonical,
Autor:
Gregory Schwing, Younes Nejahi, Mohammad Soroush Barhaghi, Loren Schwiebert, Jeffrey J. Potoff
Publikováno v:
SoftwareX, Vol 13, Iss, Pp 100627-(2021)
Major updates in version 2.70 of GOMC include new Monte Carlo moves to enhance the sampling of phase space, such as Molecular Exchange Monte Carlo (MEMC), configurational-bias for molecules that contain rings, the crankshaft move, and a force/torque-
Publikováno v:
Journal of Chemical & Engineering Data. 61:1625-1631
Histogram-reweighting Monte Carlo simulations in the grand canonical ensemble are used to determine saturated liquid and vapor densities, vapor pressures, heats of vaporization, and compressibility factors for radon-222 from the normal boiling point
A transferable united-atom force field, based on Mie potentials, is presented for alkynes. The performance of the optimised Mie potential parameters is assessed for 1-alkynes and 2-alkynes using grand canonical histogram-reweighting Monte Carlo simul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8e1be52e137b4b5994d618b8584d5cb