Dr. Hyeondeok Shin is an Assistant Computational Scientist in Computational Science Division, Argonne National Laboratory. He is a specialist in chemistry, condensed matter physics, and computational material science. His research focuses on the application of first-principle method including Density Functional Theory, Quantum Chemistry, and Quantum Monte Carlo method to functional materials in order to compute their accurate electronic and magnetic properties. Especially, he is an expert in applying and developing highly-accurate Quantum Monte Carlo method in order to design functional materials and predict their potential applications as industrial fields. He has been mainly researching electronic structures for various transitional metal oxides and 2D materials using Quantum Monte Carlo method.
As a result of his expertise in Quantum Monte Carlo method, he has contributed to the development of QMCPACK package that is a modern high-performance open-source Quantum Monte Carlo simulation code. His contributions focus on speed-up of high-performance computing code via methodological improvement, and stabilization of code workflow.
Dr. Hyeondeok Shin received his Ph D. in Physics (Quantum Phase and Devices) from Konkuk University in South Korea in late 2015. After graduation, he joined the Argonne Leadership Computing Facility (ALCF) as a postdoctoral appointee in 2016 and was promoted to staff in Computational Science Division in 2019.