Myung LAB
Office:N Center Block C 6F #86680
SungKyunKwan University (SKKU)
2066 Seobu-ro, Suwon-si, Republic of Korea
Our group’s interests lie at developing machine learning
methods for understanding complex chemical processes in materials and surfaces. We develop machine learning potential algorithms using sparse Gaussian process regression. Also we study the structure of complex surface by developing machine learning methods for global optimization algorithms. More information on my research is available in research projects.
I’m Chang Woo Myung, an assistant professor in the Department of Energy Science at SungKyunKwan University. Before joining the faculty, I worked as a postdoc researcher at University of Cambridge with Prof. Angelos Michaelides and at ETH Zurich/USI with Prof. Michele Parrinello. I received my PhD in Chemistry under Prof. Kwang S. Kim at UNIST, Korea. Before that, I recieved my MS and BS at POSTECH, Korea.
The group is currently looking for talented Master, PhD students and postdocs. If you have a background in chemistry, physics and materials science and the above projects seem interesting, feel free to contact me.
News
Mar 1, 2023 | The team welcomes applications for MS, PhD, and postdoc positions! |
---|---|
Jan 27, 2023 | 2022년 자연과학대학 동계 학술발표회(CNU드림꾸러미) |
Oct 19, 2022 | 2022년 대한화학회 |
Sep 23, 2022 | 2022년 자연과학대학 하계 학술발표회(CNU드림꾸러미) |
May 31, 2022 | Psi-k 2022 is finally happening at Lausanne, Switzerland! |
Selected publications
-
Adv.Ener.Mater.Challenges and Opportunities in Metal Halide Perovskites from Machine Learning PerspectivesAdv. Energy Mater. 2022