Viscous flow and colloid transport near air-water interface in a microchannel. - Xiao-yan Shi; Hui Gao; Volha I. Lazouskaya; Qinjun Kang; Yan Jin; Lian-Ping Wang (Comput. Math. Appl., 2010)

Modeling electrokinetic flows in microchannels using coupled lattice Boltzmann methods. - Moran Wang; Qinjun Kang (J. Comput. Phys., 2010)

Coupled numerical approach combining finite volume and lattice Boltzmann methods for multi-scale multi-physicochemical processes. - Li Chen; Ya-Ling He; Qinjun Kang; Wen-Quan Tao (J. Comput. Phys., 2013)

Lattice Boltzmann phase-field modeling of thermocapillary flows in a confined microchannel. - Haihu Liu; Albert J. Valocchi; Yonghao Zhang; Qinjun Kang (J. Comput. Phys., 2014)

Contact Angle Effects on Pore and Corner Arc Menisci in Polygonal Capillary Tubes Studied with the Pseudopotential Multiphase Lattice Boltzmann Model. - Soyoun Son; Li Chen; Qinjun Kang; Dominique Derome; Jan Carmeliet (Comput., 2016)

Three-dimensional lattice Boltzmann simulations of microdroplets including contact angle hysteresis on topologically structured surfaces. - Yan Ba; Qinjun Kang; Haihu Liu; Jinju Sun; Chao Wang (J. Comput. Sci., 2016)

Physics-Informed Machine Learning for Real-time Reservoir Management. - Maruti Kumar Mudunuru; Daniel O'Malley; Shriram Srinivasan; Jeffrey D. Hyman; Matthew R. Sweeney; Luke Frash; Bill Carey; Michael R. Gross; Nathan J. Welch; Satish Karra; Velimir V. Vesselinov; Qinjun Kang; et al. (AAAI Spring Symposium: MLPS, 2020)

Modeling nanoconfinement effects using active learning. - Javier E. Santos; Mohammed Mehana; Hao Wu; Masa Prodanovic; Michael J. Pyrcz; Qinjun Kang; Nicholas Lubbers; Hari S. Viswanathan (CoRR, 2020)

Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. - Javier E. Santos; Ying Yin; Honggeun Jo; Wen Pan; Qinjun Kang; Hari S. Viswanathan; Masa Prodanovic; Michael J. Pyrcz; Nicholas Lubbers (CoRR, 2021)

A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media. - Kun Wang; Yu Chen; Mohammed Mehana; Nicholas Lubbers; Kane C. Bennett; Qinjun Kang; Hari S. Viswanathan; Timothy C. Germann (J. Comput. Phys., 2021)

Predictive Scale-Bridging Simulations through Active Learning. - Satish Karra; Mohammed Mehana; Nicholas Lubbers; Yu Chen; Abdourahmane Diaw; Javier E. Santos; Aleksandra Pachalieva; Robert S. Pavel; Jeffrey R. Haack; Michael M. McKerns; Christoph Junghans; Qinjun Kang; et al. (CoRR, 2022)

A Foundation Model for Material Fracture Prediction. - Agnese Marcato; Aleksandra Pachalieva; Ryley G. Hill; Kai Gao; Xiaoyu Wang; Esteban Rougier; Zhou Lei; Vinamra Agrawal; Janel Chua; Qinjun Kang; Jeffrey D. Hyman; Abigail Hunter; et al. (CoRR, 2025)