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Our research program is aimed at (a) understanding interfacial phenomena and properties of biological and chemical systems at the molecular level using an integrated experimental and molecular simulation approach and (b) developing new biomaterials and biosensors for biomedical and engineering applications. The specific aim of each research area is given below.
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To provide molecular-level biononfouling mechanisms, develop superlow biofouling materials, and apply these materials for applications in marine coatings, biomedical devices, and consumer products. Molecular Design of Superlow Biofouling Materials: |
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To develop surface chemistries for arrayed biosensors with high sensitivity and specificity, develop nanopattern-enhanced SPR sensors, and to perform the quantitative measurements of multiple analytes in complex media for applications in food safety monitoring and early cancer diagnostics. Molecular Engineering of Surfaces for Sensing and Detection
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To study (a) protein-surface interactions and protein orientation, (b) protein-protein interactions and binding pairs/sites, and (c) cell-surface interactions and angiogenesis. Molecular Control of Biomolecular Interfaces
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To prepare and characterize SAMs with various terminal groups and molecular-scale uniform mixed SAMs, and to use them for surface functionalization and modification in various fundamental studies and practical applications. Nanoscale Surface Properties via Self-Assembled Monolayers
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To perform quantitative measurements of nano-scale friction and adhesion using AFM/FFM, to interpret AFM/FFM experimental results using hybrid simulation techniques, to study how friction and adhesion are affected by surface and solvent properties important in BioMEMS, and to investigate single-molecule unbinding forces and pathways. Simulation and AFM/FFM Studies of Nano-Scale Friction
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To provide molecular-level insights into various systems and properties studied, to develop accurate force fields from ab initio quantum mechanics, and to develop new simulation methodologies for large-scale simulations. Force Field, Configuration-Biased Simulation, Cell-Multiple Method |
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Last modified: 11-13-2007 |
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