443 citations · 1.5k across the 18 of their papers we have counts for
18 papers
Universal scaling of nanoparticle deposition by colloidal droplet drying
Feifei Qin, Linlin Fei, Jianlin Zhao +4
We present a comprehensive study of nanoparticle deposition from drying of colloidal droplets. By means of lattice Boltzmann modeling and theoretical analysis, various deposition p…
Predictive Scale-Bridging Simulations through Active Learning
Satish Karra, Mohamed Mehana, Nicholas Lubbers +12
Throughout computational science, there is a growing need to utilize the continual improvements in raw computational horsepower to achieve greater physical fidelity through scale-b…
Numerical Modeling of Ion Transport and Adsorption in Porous Media: A Two-scale Study for Capacitive Deionization Desalination
Min Liu, John Waugh, Siddharth Komini Babu +2
A two-scale model is presented to simulate the dynamic ion transport and adsorption processes in porous electrodes used for capacitive deionization (CDI). At the pore scale, the St…
Computationally Efficient Multiscale Neural Networks Applied To Fluid Flow In Complex 3D Porous Media
Javier Santos, Ying Yin, Honggeun Jo +6
The permeability of complex porous materials can be obtained via direct flow simulation, which provides the most accurate results, but is very computationally expensive. In particu…
Modeling nanoconfinement effects using active learning
Javier E. Santos, Mohammed Mehana, Hao Wu +5
Predicting the spatial configuration of gas molecules in nanopores of shale formations is crucial for fluid flow forecasting and hydrocarbon reserves estimation. The key challenge…
Predicting Effective Diffusivity of Porous Media from Images by Deep Learning
Haiyi Wu, Wen-Zhen Fang, Qinjun Kang +2
We report the application of machine learning methods for predicting the effective diffusivity (De) of two-dimensional porous media from images of their structures. Pore structures…
Permeability prediction of organic shale with generalized lattice Boltzmann model considering surface diffusion effect
Junjian Wang, Li Chen, Qinjun Kang +1
Gas flow in shale is associated with both organic matter (OM) and inorganic matter (IOM) which contain nanopores ranging in size from a few to hundreds of nanometers. In addition t…
Changes in porosity, permeability and surface area during rock dissolution: effects of mineralogical heterogeneity
Ting Min, Yimin Gao, Li Chen +2
Effects of heterogeneity of mineral distribution and reaction rate on the rock dissolution process are investigated using a pore-scale reactive transport model based on the lattice…
Performance evaluation of the cavities on nucleate boiling at microscale level
Yu-Tong Mu, Li Chen, Qinjun Kang +1
Nucleate boiling heat transfer (NBHT) from enhanced structures is an effective way to dissipate high heat flux. In the present study, the cavities behaviours for nucleation on roug…
The lattice Boltzmann method for isothermal micro-gaseous flow and its application in shale gas flow: a review
Junjian Wang, Li Chen, Qinjun Kang +1
The lattice Boltzmann method (LBM) has experienced tremendous advances and been well accepted as a popular method of simulation of various fluid flow mechanisms on pore scale in ti…
Lattice Boltzmann modeling of boiling heat transfer: The boiling curve and the effects of wettability
Q. Li, Q. J. Kang, M. M. Francois +2
A hybrid thermal lattice Boltzmann (LB) model is presented to simulate thermal multiphase flows with phase change based on an improved pseudopotential LB approach [Q. Li, K. H. Luo…
A generalized lattice Boltzmann model for flow through tight porous media with Klinkenberg's effect
Li Chen, Wenzhen Fang, Qinjun Kang +3
Gas slippage occurs when the mean free path of the gas molecules is in the order of the characteristic pore size of a porous medium. This phenomenon leads to the Klinkenberg's effe…
Pore-scale simulation of multicomponent multiphase reactive transport with dissolution and precipitation
Li Chen, Qinjun Kang, Qing Tang +3
Multicomponent multiphase reactive transport processes with dissolution-precipitation are widely encountered in energy and environment systems. A pore-scale two-phase multi-mixture…
Nanoscale simulation of shale transport properties using the lattice Boltzmann method: permeability and diffusivity
Li Chen, Lei Zhang, Qinjun Kang +2
Porous structures of shales are reconstructed based on scanning electron microscopy (SEM) images of shale samples from Sichuan Basin, China. Characterization analyzes of the nanosc…
Pore-scale study of dissolution-induced changes in hydrologic properties of rocks with binary minerals
Li Chen, Qinjun Kang, Hari S. Viswanathan +1
A pore-scale numerical model for reactive transport processes based on the Lattice Boltzmann method is used to study the dissolution-induced changes in hydrologic properties of a f…
Lattice Boltzmann prediction of transport properties in reconstructed nanostructures of organic matters in shales
Li Chen, Qinjun Kang, Lei Zhang +1
Size, morphology and distributions of pores in organic matters of shale matrix are discussed based on high resolution images from experiments in the literature. 150 nanoscale struc…
Nanoscale study of reactive transport in catalyst layer of proton exchange membrane fuel cells with precious and non-precious catalysts using lattice Boltzmann method
Li Chen, Gang Wu, Qinjun Kang +2
High-resolution porous structures of catalyst layer (CL) with multicomponent in proton exchange membrane fuel cells are reconstructed using a reconstruction method called quartet s…
Multiphase lattice Boltzmann simulations for porous media applications -- a review
Haihu Liu, Qinjun Kang, Christopher R. Leonardi +6
Over the last two decades, lattice Boltzmann methods have become an increasingly popular tool to compute the flow in complex geometries such as porous media. In addition to single…