Jihwan Kim 김지환

About

I am an integrated M.S./Ph.D. student in the Department of Chemistry at Kookmin University, advised by Prof. Joonyoung F. Joung in the AI Chemistry Laboratory (SAIL). I received my B.S. in Applied Chemistry from Kookmin University in 2025. My research applies machine learning to chemistry. Most of my work is on molecular mixtures, where I encode composition-dependent intermolecular interactions into learned molecular representations to predict properties such as density and refractive index. I also develop wavenumber-aware deep learning models that keep Raman spectral analysis reliable when measurement conditions change.

News

• Oct. 2026Our paper on composition-dependent molecular representations for mixtures was accepted to Chemical Engineering Journal.
• Oct. 2026Our preprint on wavenumber-aware deep learning for Raman spectra is now on arXiv.
• Sep. 2026Our paper on core/shell perovskite nanocrystals was published in Journal of Alloys and Compounds.
• Jun. 2026I received the Outstanding Oral Presentation Award at the 149th Summer Meeting of the Physical Chemistry Division, Korean Chemical Society.
• Mar. 2026I presented a poster at ACS Spring 2026 in Atlanta, GA.
• Mar. 2025I started the integrated M.S./Ph.D. program at Kookmin University.

Publications

*: corresponding author · †: equal contribution · J: journal article · P: preprint

Presentations

Education

Awards