Joonyoung F. Joung Lab · Kookmin University
Spectroscopy and AI Lab
We develop machine learning methods for molecular property prediction, chemical reaction prediction, de novo molecular design, and the construction of chemical databases.
Research
What we work on
The Spectroscopy and AI Lab (SAIL), led by Joonyoung F. Joung, integrates artificial intelligence with chemistry to study chemical reaction prediction and the discovery of new materials.
Prediction of Physicochemical Properties
We leverage machine learning models and quantum chemical calculations (e.g., DFT) to predict critical physicochemical properties of molecules, such as optical properties, energy levels, and solubility. These predictions...
Chemical Reaction Prediction
Chemical reaction prediction has traditionally relied on expert knowledge and reaction rules, making it difficult to anticipate unexpected byproducts or impurities. We develop models that predict products either...
De Novo Molecular Design
Traditional approaches to molecular design rely heavily on trial-and-error experimentation, even when the desired properties are known. At SAIL, we develop machine learning-based de novo design techniques that...
Database Development
Reliable AI models require high-quality data. We build structured databases by extracting information from experiments and literature, and use these data for training and benchmarking models.
Highlights
Journal covers
Contact
Find us
- Address
- 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea
- jjoung@kookmin.ac.kr
- Phone
- +82-2-910-4731
- Principal investigator
- Joonyoung F. Joung (정준영)
Assistant Professor, Department of Chemistry - Affiliation
- College of Science and Technology, Kookmin University