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Chun Liu

Researcher at Illinois Institute of Technology

Publications -  518
Citations -  16965

Chun Liu is an academic researcher from Illinois Institute of Technology. The author has contributed to research in topics: Large Hadron Collider & Medicine. The author has an hindex of 62, co-authored 313 publications receiving 14670 citations. Previous affiliations of Chun Liu include Carnegie Mellon University & Courant Institute of Mathematical Sciences.

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Coarse-graining Langevin dynamics using reduced-order techniques

TL;DR: For order less than six, the reduced model obtained from the subspace projection automatically satisfies the fluctuation-dissipation theorem and the equivalence to a moment-matching procedure is proved.
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Transport of Charged Particles: Entropy Production and Maximum Dissipation Principle

TL;DR: In this paper, a modified Poisson-Nernst-Planck (PNP) system with an extra dissipation due to the effective velocity differences between ion species is presented.
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Investigations of interfacial heat transfer and phase change on bioinspired superhydrophobic surface for anti-icing/de-icing

TL;DR: In this paper , a comprehensive solution method, considering a modified roughness, texture, and thermal properties of SHSs material, is developed in order to reveal the mechanisms of micro−/nanostructure on interfacial heat transfer and phase change during freezing.
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Promoting charge migration of Co(OH)2/g-C3N4 by hydroxylation for improved PMS activation: Catalyst design, DFT calculation and Mechanism analysis

TL;DR: In this article , Co(OH) 2 nanosheets in-suit anchored hydroxylated hollow tubular g-C 3 N 4 (Co/CNH) was successfully fabricated by a facile impregnation method, and used to activate peroxymonosulfate (PMS) for enrofloxacin hydrochloride (ERF) degradation.
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A fictitious domain method with a hybrid cell model for simulating motion of cells in fluid flow

TL;DR: A hybrid model to represent membranes of biological cells and use the distributed-Lagrange-multiplier/fictitious-domain (DLM/FD) formulation for simulating the fluid/cell interactions is developed and results show that the method is suited to the simulation of the cell motion in flow.