Qinjun Kang

Orcid: 0000-0002-4754-2240

According to our database1, Qinjun Kang authored at least 11 papers between 2010 and 2022.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Predictive Scale-Bridging Simulations through Active Learning.
CoRR, 2022

2021
A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media.
J. Comput. Phys., 2021

Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media.
CoRR, 2021

2020
Modeling nanoconfinement effects using active learning.
CoRR, 2020

Physics-Informed Machine Learning for Real-time Reservoir Management.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2016
Three-dimensional lattice Boltzmann simulations of microdroplets including contact angle hysteresis on topologically structured surfaces.
J. Comput. Sci., 2016

Contact Angle Effects on Pore and Corner Arc Menisci in Polygonal Capillary Tubes Studied with the Pseudopotential Multiphase Lattice Boltzmann Model.
Comput., 2016

2014
Lattice Boltzmann phase-field modeling of thermocapillary flows in a confined microchannel.
J. Comput. Phys., 2014

2013
Coupled numerical approach combining finite volume and lattice Boltzmann methods for multi-scale multi-physicochemical processes.
J. Comput. Phys., 2013

2010
Modeling electrokinetic flows in microchannels using coupled lattice Boltzmann methods.
J. Comput. Phys., 2010

Viscous flow and colloid transport near air-water interface in a microchannel.
Comput. Math. Appl., 2010


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