most citedSupervised parallel-in-time algorithm for long-time Lagrangian simulations of stochastic dynamics: Application to hydrodynamics

9 citations · 9 across the 2 of their papers we have counts for

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physics.comp-ph2019★ 9 cited

Supervised parallel-in-time algorithm for long-time Lagrangian simulations of stochastic dynamics: Application to hydrodynamics

Ansel L. Blumers, Zhen Li, George Em Karniadakis

Lagrangian particle methods based on detailed atomic and molecular models are powerful computational tools for studying the dynamics of microscale and nanoscale systems. However, t…

physics.comp-ph2019

A GPU-accelerated package for simulation of flow in nanoporous source rocks with many-body dissipative particle dynamics

Yidong Xia, Ansel Blumers, Zhen Li +7

Mesoscopic simulations of hydrocarbon flow in source shales are challenging, in part due to the heterogeneous shale pores with sizes ranging from a few nanometers to a few micromet…