KYEONGJAE CHO
Professor
kjcho@utdallas.edu
Phone: 972-883-2845
Office: RL 3.412
800 West Campbell Rd.
Mailstop: RL10
Richardson, TX 75080-3021
Education
PhD, Massachusetts Institute of Technology (MIT), 1994
MS, Seoul National University, 1988
BS, Seoul National University, 1986
Overview
Dr. Kyeongjae Cho’s main areas of research and teaching are multiscale modeling and simulation of nanoscale materials. In his research group (Multiscale Simulation Lab), diverse modeling tools are developed and applied to functional nanomaterial design. The modeling methods include atomistic and quantum simulations. Structure-property relationships of nanomaterials (nanoparticles, 2D materials and nanoscale interfaces) are the main focus of modeling research. Research topics include metal nanoparticles, 2D semiconductors and transition metal compounds. Main applications areas are electronic device materials, biotechnology and clean energy technology.
Cho has published about 300 journal articles and 40 conference papers. He has six U.S. patents awarded. His research articles are widely cited (SCI citation number = 14,133 and SCI H-index = 51: Sept. 2017). His doctoral research work at MIT was highlighted as “Simulating Reality” in the White House Report on National Science Policy (Aug. 1994). Cho’s research work on nanomaterial modeling was highlighted as “Nanomaterials for Clean Energy” in the President’s Council of Advisors on Science and Technology Report (May 16, 2005). He developed a nanomaterial design software tool, a MSL simulator, which illustrates nanomaterial design concepts. The MSL simulator was released in 2005 for the use of the research community at the nanoHUB (www.nanohub.org) and was widely used by the nanomaterial research community (2,000 users and ~8,000 runs). To realize the vision of “materials by design,” Cho co-founded startup companies Junius Tech and Nanostellar, Inc. Cho was awarded a Terman Fellowship and was elected fellow of the Institute of Physics and American Physical Society.
Research Interests
- Computational modeling study of nanomaterials with applications to nanoelectronic devices
- Renewable energy technology