663 citations · 1.4k across the 19 of their papers we have counts for
19 papers
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs
Elham Kiyani, Mahdi Kooshkbaghi, Khemraj Shukla +6
The molten sand, a mixture of calcia, magnesia, alumina, and silicate, known as CMAS, is characterized by its high viscosity, density, and surface tension. The unique properties of…
Arbitrary slip length for fluid-solid interface of arbitrary geometry in smoothed particle dynamics
Xinwei Cai, Zhen Li, Xin Bian
We model a slip boundary condition at fluid-solid interface of an arbitrary geometry in smoothed particle hydrodynamics and smoothed dissipative particle dynamics simulations. Unde…
Theory and simulation of electrokinetic fluctuations in electrolyte solutions at the mesoscale
Mingge Deng, Faisal Tushar, Luis Bravo +3
Electrolyte solutions play an important role in energy storage devices, whose performance highly relies on the electrokinetic processes at sub-micron scales.\ Although fluctuations…
Multiscale Parareal Algorithm for Long-Time Mesoscopic Simulations of Microvascular Blood Flow in Zebrafish
Ansel Blumers, Minglang Yin, Hiroyuki Nakajima +3
Various biological processes such as transport of oxygen and nutrients, thrombus formation, vascular angiogenesis and remodeling are related to cellular/subcellular level biologica…
Operator learning for predicting multiscale bubble growth dynamics
Chensen Lin, Zhen Li, Lu Lu +3
Simulating and predicting multiscale problems that couple multiple physics and dynamics across many orders of spatiotemporal scales is a great challenge that has not been investiga…
Active- and transfer-learning applied to microscale-macroscale coupling to simulate viscoelastic flows
Lifei Zhao, Zhen Li, Zhicheng Wang +3
Active- and transfer-learning are applied to polymer flows for the multiscale discovery of effective constitutive approximations required in viscoelastic flow simulation. The resul…
Controlled release of entrapped nanoparticles from thermoresponsive hydrogels with tunable network characteristics
Yi Wang, Zhen Li, Jie Ouyang +1
Thermoresponsive hydrogels have been studied intensively for creating smart drug carriers and controlled drug delivery. Understanding the drug release kinetics and corresponding tr…
Mesoscopic modeling of heptane: A surface tension calculation
Qi Rao, Yidong Xia, Jiaoyan Li +3
Accurate and efficient flow models for hydrocarbons are important in the development of enhanced geotechnical engineering for energy source recovery and carbon capture & storage in…
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
Xuhui Meng, Zhen Li, Dongkun Zhang +1
Physics-informed neural networks (PINNs) encode physical conservation laws and prior physical knowledge into the neural networks, ensuring the correct physics is represented accura…
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…
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…
Self-cleaning of hydrophobic rough surfaces by coalescence-induced wetting transition
Kaixuan Zhang, Zhen Li, Martin Maxey +2
The superhydrophobic leaves of a lotus plant and other natural surfaces with self-cleaning function have been studied intensively for the development of artificial biomimetic surfa…
Nonlocal flocking dynamics: Learning the fractional order of PDEs from particle simulations
Zhiping Mao, Zhen Li, George Em Karniadakis
Flocking refers to collective behavior of a large number of interacting entities, where the interactions between discrete individuals produce collective motion on the large scale.…
Concurrent coupling of atomistic simulation and mesoscopic hydrodynamics for flows over soft multi-functional surfaces
Yuying Wang, Zhen Li, Junbo Xu +2
We develop an efficient parallel multiscale method that bridges the atomistic and mesoscale regimes, from nanometer to micron and beyond, via concurrent coupling of atomistic simul…
Nature of Intrinsic Uncertainties in Equilibrium Molecular Dynamics Estimation of Shear Viscosity for Simple and Complex Fluids
Kang-Sahn Kim, Myung Hoon Han, Changho Kim +3
We study two types of intrinsic uncertainties, statistical errors and system size effects, in estimating shear viscosity via equilibrium molecular dynamics simulations and compare…
Active learning of constitutive relation from mesoscopic dynamics for macroscopic modeling of non-Newtonian flows
Lifei Zhao, Zhen Li, Bruce Caswell +2
We simulate complex fluids by means of an on-the-fly coupling of the bulk rheology to the underlying microstructure dynamics. In particular, a macroscopic continuum model of polyme…
A dissipative particle dynamics method for arbitrarily complex geometries
Zhen Li, Xin Bian, Yu-Hang Tang +1
We present a local detection method for dissipative particle dynamics (DPD) involving arbitrarily shaped geometric three-dimensional domains. By introducing an indicator variable o…
GPU-accelerated Red Blood Cells Simulations with Transport Dissipative Particle Dynamics
Ansel L. Blumers, Yu-Hang Tang, Zhen Li +2
Mesoscopic numerical simulations provide a unique approach for the quantification of the chemical influences on red blood cell functionalities. The transport Dissipative Particles…
Systematic parameter inference in stochastic mesoscopic modeling
Huan Lei, Xiu Yang, Zhen Li +1
We propose a method to efficiently determine the optimal coarse-grained force field in mesoscopic stochastic simulations of Newtonian fluid and polymer melt systems modeled by diss…