Zhen Li
Zhen Li
Department of Mechanical Engineering, Clemson University
Verified email at - Homepage
Cited by
Cited by
PPINN: Parareal physics-informed neural network for time-dependent PDEs
X Meng, Z Li†, D Zhang, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 370, 113250, 2020
Incorporation of memory effects in coarse-grained modeling via the Mori-Zwanzig formalism
Z Li, X Bian, X Li, GE Karniadakis
The Journal of chemical physics 143 (24), 243128, 2015
Three dimensional flow structures in a moving droplet on substrate: A dissipative particle dynamics study
Z Li, GH Hu, ZL Wang, YB Ma, ZW Zhou
Physics of Fluids 25 (7), 072103, 2013
Construction of dissipative particle dynamics models for complex fluids via the Mori–Zwanzig formulation
Z Li, X Bian, B Caswell, GE Karniadakis
Soft Matter 10 (43), 8659-8672, 2014
Computing the non-Markovian coarse-grained interactions derived from the Mori–Zwanzig formalism in molecular systems: Application to polymer melts
Z Li, HS Lee, E Darve, GE Karniadakis
The Journal of chemical physics 146 (1), 014104, 2017
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
Self-cleaning of hydrophobic rough surfaces by coalescence-induced wetting transition
K Zhang, Z Li†, M Maxey, S Chen, GE Karniadakis
Langmuir 35 (6), 2431-2442, 2019
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
A dissipative particle dynamics method for arbitrarily complex geometries
Z Li, X Bian, YH Tang, GE Karniadakis
Journal of Computational Physics 355, 534-547, 2018
Operator learning for predicting multiscale bubble growth dynamics
C Lin, Z Li, L Lu, S Cai, M Maxey, GE Karniadakis
The Journal of Chemical Physics 154 (10), 104118, 2021
Transport dissipative particle dynamics model for mesoscopic advection-diffusion-reaction problems
Z Li, A Yazdani, A Tartakovsky, GE Karniadakis
The Journal of chemical physics 143 (1), 014101, 2015
GPU-accelerated red blood cells simulations with transport dissipative particle dynamics
AL Blumers, YH Tang, Z Li†, X Li, GE Karniadakis
Computer physics communications 217, 171-179, 2017
A comparative study of coarse-graining methods for polymeric fluids: Mori-Zwanzig vs. iterative Boltzmann inversion vs. stochastic parametric optimization
Z Li, X Bian, X Yang, GE Karniadakis
The Journal of chemical physics 145 (4), 044102, 2016
Mesoscale modeling of phase transition dynamics of thermoresponsive polymers
Z Li, YH Tang, X Li, GE Karniadakis
Chemical Communications 51 (55), 11038-11040, 2015
Active learning of constitutive relation from mesoscopic dynamics for macroscopic modeling of non-Newtonian flows
L Zhao, Z Li†, B Caswell, J Ouyang†, GE Karniadakis
Journal of Computational Physics 363, 116-127, 2018
Nature of intrinsic uncertainties in equilibrium molecular dynamics estimation of shear viscosity for simple and complex fluids
KS Kim, MH Han, C Kim, Z Li, GE Karniadakis, EK Lee
The Journal of chemical physics 149 (4), 044510, 2018
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
Multi-resolution flow simulations by smoothed particle hydrodynamics via domain decomposition
X Bian, Z Li, GE Karniadakis
Journal of Computational Physics 297, 132-155, 2015
Analytical prediction of electrowetting-induced jumping motion for droplets on hydrophobic substrates
K Zhang, Z Li†, S Chen
Physics of Fluids 31 (8), 081703, 2019
A seamless multiscale operator neural network for inferring bubble dynamics
C Lin, M Maxey, Z Li, GE Karniadakis
Journal of Fluid Mechanics 929, A18, 2021
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