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Yaser Afshar
Yaser Afshar
Intel AXG
Verified email at intel.com
Title
Cited by
Cited by
Year
Prediction of aerodynamic flow fields using convolutional neural networks
S Bhatnagar, Y Afshar, S Pan, K Duraisamy, S Kaushik
Computational Mechanics 64, 525-545, 2019
4452019
CHARMM-GUI nanomaterial modeler for modeling and simulation of nanomaterial systems
YK Choi, NR Kern, S Kim, K Kanhaiya, Y Afshar, SH Jeon, S Jo, ...
Journal of chemical theory and computation 18 (1), 479-493, 2021
642021
Three-dimensional numerical simulation of drops suspended in Poiseuille flow at non-zero Reynolds numbers
A Nourbakhsh, S Mortazavi, Y Afshar
Physics of Fluids 23 (12), 2011
332011
Exploiting seeding of random number generators for efficient domain decomposition parallelization of dissipative particle dynamics
Y Afshar, F Schmid, A Pishevar, S Worley
Computer Physics Communications 184 (4), 1119-1128, 2013
312013
A parallel distributed-memory particle method enables acquisition-rate segmentation of large fluorescence microscopy images
Y Afshar, IF Sbalzarini
PloS one 11 (4), e0152528, 2016
202016
New modified weight function for the dissipative force in the DPD method to increase the Schmidt number
S Yaghoubi, E Shirani, AR Pishevar, Y Afshar
Europhysics letters 110 (2), 24002, 2015
162015
KLIFF: A framework to develop physics-based and machine learning interatomic potentials
M Wen, Y Afshar, RS Elliott, EB Tadmor
Computer Physics Communications 272, 108218, 2022
142022
Molecular dynamics simulations of nano-confined methanol and methanol-water mixtures between infinite graphite plates: Structure and dynamics
H Mosaddeghi, S Alavi, MH Kowsari, B Najafi, S Az’hari, Y Afshar
The Journal of Chemical Physics 150 (14), 2019
112019
Numerical simulation of two-dimensional drops suspended in simple shear flow at nonzero Reynolds numbers
S Mortazavi, Y Afshar, H Abbaspour
112011
Towards a Next-Generation Parallel Particle-Mesh Language
S Karol, P Incardona, Y Afshar, IF Sbalzarini, J Castrillon
6*2015
A new algorithm for simulating flows of conducting fluids in the presence of electric fields
M Joulaian, A Pishevar, S Khajepor, F Schmid, Y Afshar
Computer Physics Communications 183 (11), 2405-2412, 2012
52012
Calculation the diffusion coefficient for water and lipid through the biological cell bilayer membranes using dissipative particle dynamics method
S Yaghoubi Koupaye, AR Pishevar, MS Saidi, Y Afshar, S Mokhtarian
Modares Mechanical Engineering 14 (5), 102-110, 2014
32014
Prediction of aerodynamic flow fields using spectral convolutions on graph networks
J Duvall, K Duraisamy, Y Afshar
APS Division of Fluid Dynamics Meeting Abstracts, C17. 004, 2019
22019
Efficient domain decomposition of dissipative particle dynamics via choice of pseudorandom number generator
M Seaton, I Todorov, Y Afshar
Parallel Computing Technologies: 12th International Conference, PaCT 2013 …, 2013
12013
Type Label Framework for Bonded Force Fields in LAMMPS
JR Gissinger, I Nikiforov, Y Afshar, B Waters, M Choi, DS Karls, ...
2024
KLIFF: A framework to develop analytic and machine learning interatomic potentials
M Wen, Y Afshar, RS Elliott, EB Tadmor
arXiv e-prints, arXiv: 2108.03523, 2021
2021
The environment-dependent interatomic potential (EDIP) potential v000. OpenKIM
Y Afshar
https://doi.org/10.25950/a6a67b9f, 2021
2021
Dislocation core energy for cubic crystals at a set of dislocation core cutoff radii v001. OpenKIM
Y Qian, Y Afshar, DS Karls, N Bertin, D Cereceda, EB Tadmor
https://doi.org/10.25950/448d3963, 2021
2021
Stillinger-Weber (SW) Model Driver v005. OpenKIM
M Wen, Y Afshar
https://doi.org/10.25950/934dca3e, 2021
2021
The modified embedded atom method (MEAM) potential v001. OpenKIM
Y Afshar
https://doi.org/10.25950/773efb8e, 2021
2021
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Articles 1–20