(6ft) Computational Assembly Engineering for Bio-Inspired Nanomaterials
AIChE Annual Meeting
2019 AIChE Annual Meeting
Meet the Faculty and Post-Doc Candidates Poster Session -- Sponsored by the Education Division
Meet the Faculty and Post-Doc Candidates Poster Session
Sunday, November 10, 2019 - 1:00pm to 3:00pm
To address the fundamental challenges associated with the proposed approaches, I am employing multiscale modeling and large-scale computer simulation, and developing techniques borrowed from multiple disciplines. These techniques include GPU-accelerated force fields and enhanced sampling methods for molecular simulation, large deviation theory for studies of nonequilibrium steady states, and machine learning techniques for analysis of big data sets. Particularly, my near-term interest focuses on predictive design of charged copolymers for programmable nanomaterials that are used for protein delivery and energy storage applications. The outcomes of my research program would be qualitative and quantitative predictions including, but not limited to, 1) optimal polyelectrolyte architectures and compositions, and 2) efficient routes towards desirable chemical and mechanical properties of the materials, to facilitate future experimental and theoretical investigations in the field. My extensive expertise in soft matter physics, physical modeling of polyelectrolytes, proteins and liquid-liquid interfaces, and high performance computing allows me to pursue the proposed research program successfully. Furthermore, my long-time experience with algorithm and method development for large-scale open source software packages such as LAMMPS, SSAGES and HOOMD-Blue enables me develop and optimize all the codes necessary for the studies of interest.
Teaching Interests: I am interested in teaching Chemical Engineering core courses including Fluid Flow, Process Dynamics and Control, Thermodynamics and Transport. I am also developing my own courses on Polymer Physics, Intro to Machine Learning for Chemical Engineers, and Computational Nanoscience at graduate level. I would like to facilitate cooperative learning in classroom and incorporate practical aspects with fundamental problems into lecture materials. My objectives are to explain to the students why the coursework benefit them with their career, and more importantly, to inspire them to go further with the topics covered in my courses.