Inhyuk Jang

EDUCATION

University of Wisconsin-Madison, Ph.D. candidate in chemistry, 2019 – current

Sogang University, South Korea, M.S. in chemistry, 2018

Sogang University, South Korea, B.S. in chemistry, 2016

RESEARCH DESCRIPTION

My research topic is about the deposition behavior of Li ions in Lithium metal batteries, by performing Monte-Carlo simulation with simple model. It has been a long time that many researchers have studied about a Li dendrite problem in batteries, but still this is very challengeable. By performing simulations, I try to find the reason why dendrties are growing in batteries and find how to reduce or suppress the wild growth of dendrites in physical way. This work is published here: https://aip.scitation.org/doi/full/10.1063/5.0050694

From 2021, I began to work on phase transition with unsupervised machine learning(ML). For complex systems where traditional methods do not work at all, unsupervised ML is a successful technique that can show the phase transition point very accurately. Our target system is various mixtures such as LJ binary mixture, WR mixture, spin-exchange Ising model, polymer blend, PEO+ionic liquids. We suggest new ways to construct proper feature vectors for unsupervised ML techniques and statistical mechanical base of machine learning on phase transition. The most recent publication is here: https://aip.scitation.org/doi/full/10.1063/5.0102187.