Changjin Huang

Prof. Dr. Changjin Huang

School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 March 2023 in Nature Nanotechnology
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Journal Article
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MWMengjing Wang
Mengjing Wang
QLQianqian Li
Qianqian Li
CSChangzhi Shi
Changzhi Shi
JLJia Lv
Jia Lv
YXYoudong Xu
Youdong Xu
MFMingliang Fang
Mingliang Fang

28 August 2013 in Nano Letters
Verified
Journal Article
Closed access
Changjin HuangChangjin Huang
Changjin Huang
YZYao Zhang
Yao Zhang
HYHongyan Yuan
Hongyan Yuan
HGHuajian Gao
Huajian Gao
SZSulin Zhang
Sulin Zhang

2 August 2019 in Science Advances
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Journal Article
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AKAnna Kalmykov
Anna Kalmykov
Changjin HuangChangjin Huang
Changjin Huang
JBJacqueline Bliley
Jacqueline Bliley
DSDaniel J. Shiwarski
Daniel J. Shiwarski
JTJoshua Tashman
Joshua Tashman
TCTzahi Cohen-Karni
Tzahi Cohen-Karni
An organ-on-electronic chip (organ-on-e-chip)—a three-dimensional (3D) biosensor array to decipher tissue electrical activity.

6 March 2017 in Proceedings of the National Academy of Sciences
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Changjin HuangChangjin Huang
Changjin Huang
DQDavid Quinn
David Quinn
YSYoel Sadovsky
Yoel Sadovsky
SSSubra Suresh
Subra Suresh
KHK. Jimmy Hsia
K. Jimmy Hsia
Significance: Small unilamellar vesicles formed via self-assembly of phospholipids or block copolymers have been investigated in the context of human physiology and biomedical research. Here, we present both energetics and thermodynamics analyses that incorporate nonlinear elasticity to predict, in a unique manner, the limiting size and size distribution of vesicles as well as to identify the conditions for the formation of stable open vesicles, disks, and closed spherical vesicles. In addition to providing a comprehensive understanding of vesicle formation, the framework presented here may be adapted to develop tools for in vivo liquid biopsies and to elucidate the biophysical features of extracellular vesicles, thus suggesting new approaches to diagnostics and therapeutics for cancer and other diseases.

12 July 2010 in Physical Review E
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HYHongyan Yuan
Hongyan Yuan
Changjin HuangChangjin Huang
Changjin Huang
JLJu Li
Ju Li
GLGeorge Lykotrafitis
George Lykotrafitis
SZSulin Zhang
Sulin Zhang
Biological membranes are involved in numerous intriguing biophysical and biological cellular phenomena of different length scales, ranging from nanoscale raft formation, vesiculation, to microscale shape transformations. With extended length and time scales as compared to atomistic simulations, solvent-free coarse-grained membrane models have been exploited in mesoscopic membrane simulations. In this study, we present a one-particle-thick fluid membrane model, where each particle represents a cluster of lipid molecules. The model features an anisotropic interparticle pair potential with the interaction strength weighed by the relative particle orientations. With the anisotropic pair potential, particles can robustly self-assemble into fluid membranes with experimentally relevant bending rigidity. Despite its simple mathematical form, the model is highly tunable. Three potential parameters separately and effectively control diffusivity, bending rigidity, and spontaneous curvature of the model membrane. As demonstrated by selected examples, our model can naturally simulate dynamics of phase separation in multicomponent membranes and the topological change of fluid vesicles.

27 April 2015 in Proceedings of the National Academy of Sciences
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Journal Article
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YZYao Zhang
Yao Zhang
Changjin HuangChangjin Huang
Changjin Huang
SKSangtae Kim
Sangtae Kim
MGMahdi Golkaram
Mahdi Golkaram
MDMatthew W. A. Dixon
Matthew W. A. Dixon
SSSubra Suresh
Subra Suresh
Significance: Our coarse-grained molecular dynamics (CGMD) simulations show that the deposition of nanoscale knobs, rather than spectrin network remodeling, is the primary cause of the dramatically increased stiffness of thePlasmodium falciparum(Pf)-infected red blood cell (RBC) membranes. Our analyses further reveal that the knobs stiffen the RBC membrane in a unique manner by simultaneously harnessing composite strengthening, strain hardening, and knob density-dependent vertical coupling effects. In addition to providing a fundamental understanding of the stiffening mechanism ofPf-infected RBCs, our simulation results suggest potential targets for antimalarial therapies.