Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-0480-0107
Scopus Author ID: 57191678072
Google Scholar Profile: vAzTQA8AAAAJ
Impact
Biography
Professor Chun Liu’s research lies at the intersection of nonlinear partial differential equations, calculus of variations, multiscale modeling, with applications in complex fluids, soft matter and active materials, charge transport and electrokinetics, and various biophysical systems. He received his PhD from New York University and held faculty positions in many universities. He has also served for many years as an editor for numerous journals.
Research Interests/Areas
- Applied Analysis
- Liquid Crystals and Complex Fluids
- Thermodynamics
- Active Materials and Reactive Fluids
- Charge Transport and Ion Channels
Education/Academic qualification
PhD, New York University
31 Aug 1991 → 31 May 1995
Award Date: 31 Jul 1995
Experiences and Professional Affiliations
Chair Professor, Illinois Institute of Technology
31 Jul 2017 → 31 Aug 2026
Associate Director and Professor, Institute for Mathematics and Its Applications, University of Minnesota
1 Aug 2008 → 31 Jul 2010
Professor/Associate Professor/Assistant Professor, Pennsylvania State University
1 Aug 1997 → 30 Jun 2017
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Collaborations from the last five years
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Research output
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Accelerating particle-based energetic variational inference
Bao, X., Kang, L., Liu, C. & Wang, Y., Aug 2026, In: Statistics and Computing. 36, 4, 18 p., 151.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
Chen, Y., Wang, Y., Liu, C. & Kang, L., 2026, In: Journal of Statistical Theory and Practice. 20, 3, 100.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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A Structure-Preserving Numerical Method for a Radially Symmetric Solution of Porous Medium Equation
Zhang, Q., Duan, C., Liu, C., Wang, C. & Yue, X., Jul 2026, In: Journal of Scientific Computing. 108, 1, 32 p., 23.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Active Learning for Manifold Gaussian Process Regression
Cheng, Y., Kang, L., Wang, Y. & Liu, C., Dec 2025, 2025 Winter Simulation Conference (WSC). Azar, E., Djanatliev, A. & Harper, A. (eds.). IEEE, p. 3454-3465 12 p. (Proceedings - Winter Simulation Conference).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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A deterministic–particle–based scheme for micro-macro viscoelastic flows
Bao, X., Liu, C. & Wang, Y., 1 Feb 2025, In: Journal of Computational Physics. 522, 113589.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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