Math Modeling Seminar: Multi-physical Modeling in Clean Water and Energy
Math Modeling Seminar
Multi-physical Modeling in Clean Water and Energy
Dr. Howard Qingsong Tu
Assistant Professor of Mechanical Engineering
Rochester Institute of Technology
You may attend this lecture in person at 2305 Gosnell Hall or virtually via Zoom.
If you’d like to attend virtually, you may register here for Zoom link.
Access to the affordable and sustainable clean water and energy are becoming increasingly important for modern society. Many cutting-edge techniques aim to provide more efficient and low-cost clean water and energy, including reverse osmosis (RO) for water purification and solid-state batteries for energy storage. However, the lack of understanding to many fundamental problems hinder the practical applications of these techniques, which usually originate from the complicated multi-physical couplings spanning across multi-scale. In this talk, I will share my research in the effort of investigating electro-chemo-mechanical problems laying behind both applications. I will share my research on the heterogeneous transport and reactions of electrons and Li-ions in the solid-state batteries, including the understanding of dendrite problem at the anode side and the optimization of composite cathode in order to increase the energy density. I will also talk about my new research directions including: building a unified toolkit to solve multi-physical problems, developing a data-driven method with the machine learning technique to bridge up the nanoscale and continuum-scale modeling, and screening new membrane material for more efficient water purification.
Dr. Howard Qingsong Tu is an assistant professor in the mechanical engineering department, and runs the clean energy and water lab (www.CewLab.org). He got his Ph.D. degree from the University of California at Berkeley in 2017. He was a postdoc researcher in the material science division at Lawrence Berkeley National Lab from 2017-2021. His research has focused on solving electro-chemo-mechanical problems in energy storage systems (such as solid-state batteries) and water desalination systems (such as reverse osmosis), with the close-loop data-simulation-experiment approach.
Read more here.
Undergraduates, graduates, and experts. Those with interest in the topic.
The Math Modeling Seminar will recur each week throughout the semester on the same day and time. Find out more about upcoming speakers on the Mathematical Modeling Seminar Series webpage.
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When and Where
Open to the Public