| Energy-conserving dissipative particle dynamics with temperature-dependent properties Z Li, YH Tang, H Lei, B Caswell, GE Karniadakis Journal of Computational Physics 265, 113-127, 2014 | 104 | 2014 |
| A dissipative particle dynamics method for arbitrarily complex geometries Z Li, X Bian, YH Tang, GE Karniadakis Journal of Computational Physics, 2017 | 88 | 2017 |
| Multiscale Universal Interface: A concurrent framework for coupling heterogeneous solvers YH Tang, S Kudo, X Bian, Z Li, GE Karniadakis Journal of Computational Physics 297, 13-31, 2015 | 88 | 2015 |
| OpenRBC: A Fast Simulator of Red Blood Cells at Protein Resolution YH Tang, L Lu, H Li, C Evangelinos, L Grinberg, V Sachdeva, ... Biophysical Journal 112 (10), 2030-2037, 2017 | 78 | 2017 |
| Patient-specific blood rheology in sickle-cell anaemia X Li, E Du, H Lei, YH Tang, M Dao, S Suresh, GE Karniadakis Interface Focus 6, 2015 | 68 | 2015 |
| Accelerating dissipative particle dynamics simulations on GPUs: Algorithms, numerics and applications YH Tang, GE Karniadakis Computer Physics Communications 185 (11), 2809-2822, 2014 | 62 | 2014 |
| GPU-accelerated red blood cells simulations with transport dissipative particle dynamics AL Blumers, YH Tang, Z Li, X Li, GE Karniadakis Computer Physics Communications, 2017 | 60 | 2017 |
| Mesoscale modeling of phase transition dynamics of thermoresponsive polymers Z Li, YH Tang, X Li, GE Karniadakis Chemical Communications 51 (55), 11038-11040, 2015 | 49 | 2015 |
| Modeling Thermal Interactions between Buildings in an Urban Context X Luo, T Hong, YH Tang Energies 13 (9), 2382, 2020 | 45 | 2020 |
| Prediction of atomization energy using graph kernel and active learning YH Tang, WA de Jong The Journal of Chemical Physics 150 (4), 044107, 2019 | 44 | 2019 |
| A GPU-accelerated package for simulation of flow in nanoporous source rocks with many-body dissipative particle dynamics Y Xia, A Blumers, Z Li, L Luo, YH Tang, J Kane, J Goral, H Huang, M Deo, ... Computer Physics Communications 247, 106874, 2020 | 42 | 2020 |
| Non-Equilibrium Dynamics of Vesicles and Micelles by Self-Assembly of Block Copolymers with Double Thermoresponsivity YH Tang, Z Li, X Li, M Deng, GE Karniadakis Macromolecules 49 (7), 2895-2903, 2016 | 41 | 2016 |
| The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution D Rossinelli, YH Tang, K Lykov, D Alexeev, M Bernaschi, P Hadjidoukas, ... Proceedings of the International Conference for High Performance Computing …, 2015 | 38 | 2015 |
| Large-scale dissipative particle dynamics simulations of self-assembled amphiphilic systems X Li, YH Tang, H Liang, GE Karniadakis Chemical Communications 50 (61), 8306-8308, 2014 | 38 | 2014 |
| An atomistic fingerprint algorithm for learning ab initio molecular force fields YH Tang, D Zhang, GE Karniadakis The Journal of Chemical Physics 148 (3), 034101, 2018 | 33 | 2018 |
| Modeling biomembranes and red blood cells by coarse-grained particle methods H Li, HY Chang, J Yang, L Lu, YH Tang, G Lykotrafitis Applied Mathematics and Mechanics 39 (1), 3-20, 2018 | 22 | 2018 |
| Dissipative Particle Dynamics: Foundation, Evolution, Implementation, and Applications Z Li, X Bian, X Li, M Deng, YH Tang, B Caswell, GE Karniadakis Particles in Flows, 255-326, 2017 | 22 | 2017 |
| Learning stochastic dynamics with statistics-informed neural network Y Zhu, YH Tang, C Kim Journal of Computational Physics 474, 111819, 2023 | 19 | 2023 |
| Analysis of hydrodynamic fluctuations in heterogeneous adjacent multidomains in shear flow X Bian, M Deng, YH Tang, GE Karniadakis Physical Review E 93 (3), 033312, 2016 | 18 | 2016 |
| A High-Throughput Solver for Marginalized Graph Kernels on GPU YH Tang, O Selvitopi, DT Popovici, A Buluç 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 16 | 2020 |
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringZweryfikowany adres z brown.edu