| 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 | 454 | 2019 |
| 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 | 68 | 2021 |
| 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 | 34 | 2011 |
| 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 | 31 | 2013 |
| 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 | 20 | 2016 |
| 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 | 17 | 2022 |
| 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 | 16 | 2015 |
| 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 | 12 | 2019 |
| Numerical simulation of two-dimensional drops suspended in simple shear flow at nonzero Reynolds numbers S Mortazavi, Y Afshar, H Abbaspour | 9 | 2011 |
| 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 | 6 | 2012 |
| 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 | 3 | 2014 |
| 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 | 2 | 2019 |
| 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 | 1 | 2013 |
| 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 |
Ellad B. TadmorProfessor of Aerospace Engineering and Mechanics, University of MinnesotaПідтверджена електронна адреса в umn.edu
