Zhen Li

Orcid: 0000-0002-0936-6928

Affiliations:
  • Clemson University, SC, USA
  • Brown University, Division of Applied Mathematics, Providence, RI, USA
  • University of California Merced, School of Engineering, CA, USA (2012)
  • Shanghai University, Shanghai Institute of Applied Mathematics and Mechanics, China (PhD 2011)


According to our database1, Zhen Li authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning.
CoRR, 2024

2023
Arbitrary slip length for fluid-solid interface of arbitrary geometry in smoothed particle dynamics.
J. Comput. Phys., December, 2023

Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs.
CoRR, 2023

Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading.
CoRR, 2023

2022
Computational investigation of blood cell transport in retinal microaneurysms.
PLoS Comput. Biol., 2022

Multiphysics and multiscale modeling of microthrombosis in COVID-19.
PLoS Comput. Biol., 2022

2021
Active- and transfer-learning applied to microscale-macroscale coupling to simulate viscoelastic flows.
J. Comput. Phys., 2021

2020
A GPU-accelerated package for simulation of flow in nanoporous source rocks with many-body dissipative particle dynamics.
Comput. Phys. Commun., 2020

2019
A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection-diffusion-reaction problems.
J. Comput. Phys., 2019

Supervised parallel-in-time algorithm for long-time Lagrangian simulations of stochastic dynamics: Application to hydrodynamics.
J. Comput. Phys., 2019

PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs.
CoRR, 2019

2018
Active learning of constitutive relation from mesoscopic dynamics for macroscopic modeling of non-Newtonian flows.
J. Comput. Phys., 2018

A dissipative particle dynamics method for arbitrarily complex geometries.
J. Comput. Phys., 2018

2017
Systematic parameter inference in stochastic mesoscopic modeling.
J. Comput. Phys., 2017

GPU-accelerated red blood cells simulations with transport dissipative particle dynamics.
Comput. Phys. Commun., 2017

2015
Multiscale Universal Interface: A concurrent framework for coupling heterogeneous solvers.
J. Comput. Phys., 2015

Symmetry boundary condition in dissipative particle dynamics.
J. Comput. Phys., 2015

Multi-resolution flow simulations by smoothed particle hydrodynamics via domain decomposition.
J. Comput. Phys., 2015

Mesoscale modeling of phase transition dynamics of thermoresponsive polymers.
CoRR, 2015

2014
Energy-conserving dissipative particle dynamics with temperature-dependent properties.
J. Comput. Phys., 2014


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