传记
Dr. Vinayak Bhat, Assistant Professor of 化学istry, is a computational physical organic chemist whose research interests are designing and discovering organic functional materials. He completed his integrated Master’degree from the 印度n Institute of Science Education and Research Thiruvananthapuram, 印度. He obtained his Ph.D. under the supervision of Dr. Chad Risko at the University of Kentucky.
At Columbia College, Dr. Bhat primarily teaches Organic 化学istry and 理论物理ical 化学istry sequence.
When not at college, Dr. Bhat enjoys exploring the outdoors and creating videos for his YouTube channel @化学istrywithcode.
奖 & Accomplishments
- 2023 Outstanding Research Award, University of Kentucky.
- 2023 Outstanding poster presentation award at Super Collider, Kentucky NSF EPSCoR.
- 2021 Max Steckler Fellowship, University of Kentucky.
- 2020 Outstanding Teaching Assistant Award, University of Kentucky.
Publications
- Bhat V.; Callaway, C. P.; Risko, C. Computational Approaches for Organic Semiconductors: From 化学ical and 理论物理ical Understanding to Predicting New 母亲ials. 化学. 牧师. 2023
- 兴,我. Q.; Onorato, J. W.; Luscombe, C. K.; Bhat V.; Risko, C. 等. Resonant X-Ray Diffraction 牧师eals the Location of Counterions in Doped Organic Mixed Ionic Conductors. 化学. 母亲. 2023, 35 (10), 3960–3967.
- 宋,年代., Barbosa, N.蒂瓦里，A., Holland, E. K.黄，L.-Y.b、b、V.等。. Twisted Crystalline Organic Semiconductor Photodetectors. 阿德. 功能. 母亲. 2023, 2212531.
- Bhat V.; Sornberger, P.; Pokuri, B. S. S.; 杜克,R.; Ganapathysubramanian, B.; Risko, C. 电子, 氧化还原, and Optical Property Prediction of Organic pi-Conjugated Molecules through a Hierarchy of Machine Learning Approaches. 化学. Sci. 2022.
- 杜克,R.; Bhat V.; Risko, C. Data Storage Architectures to Accelerate 化学ical Discovery: Data Accessibility for Individual Laboratories and the Community. 化学. Sci. 2022.
- Smith, A; Bhat V; Ai,问.; Risko, C., Challenges in Information-Mining the 母亲ials Literature: A Case Study and Perspective. 化学. 母亲. 2022 34 (11), 4821-4827.
- Ai,问.; Bhat V.; Ryno, S. M.; Jarolimek, K.; Sornberger, P.; Smith, A. 等. OCELOT: An infrastructure for data-driven research to discover and design crystalline organic semiconductors. J. 化学. 理论物理. 2021, 154 (17), 174705.