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A central goal of our work is to understand and predict properties based on the molecular characteristics of matter and systems. We strive to obtain simple insight to seemingly complex problems. In this regard, we are very much guided by the following quotation from J. W. Gibbs: "One of the principal objects of theoretical research... is to find the point of view from which the subject appears in its greatest simplicity." In line with this philosophy, we build coarse-grained models that capture the most essential features of the problems at hand without undue microscopic details, which are solved with a combination of modern analytical and numerical methods of statistical mechanics, including density functional theory, self-consistent field method, field-theoretical techniques, Monte Carlo simulation and Brownian Dynamics simulation.
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论文共 260 篇作者统计合作学者相似作者
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Alexandros J. Tsamopoulos,Zhen-Gang Wang
ACS MACRO LETTERSno. 3 (2024): 322-327
Journal of Membrane Science (2024): 122563
MACROMOLECULESno. 5 (2024): 1941-1949
Langmuir : the ACS journal of surfaces and colloidsno. 12 (2024): 6212-6219
Seola Lee,Pierre Walker, Seneca Velling, Amylynn Chen,Zane Taylor, Cyrus Fiori,Vatsa Gandhi,Zhen-Gang Wang,Julia Greer
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JOURNAL OF PHYSICAL CHEMISTRY Bno. 19 (2023): 4328-4337
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JOURNAL OF PHYSICAL CHEMISTRY Bno. 30 (2023): 6825-6832
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