Welcome to Professor Jihan Kim's Research Group. 

We are a computational chemistry group at KAIST that focuses on solving some of today's most important energy and environmental related problems.  We aim to develop accurate and efficient models to create, in silico, materials that can be used for wide range of applications such as carbon capture, methane/hydrogen storage, and batteries.   Finally, we are not afraid to use concepts from many other disciplines (e.g. computer sciences, artificial intelligence, music, graphics) to develop unique solutions that can differentiate our group.  



 


1/2019:   Sangwon's paper "Predicting performance limits of methane gas storage in zeolites with artificial neural network" has been accepted to Journal of Materials Chemistry A.  In this work, we have developed a neural net work called ESGAN (energy shape generative adversarial network) to create "energy shapes" of materials that can let us deduce the maximum performance limits for a given class of materials.  Congratulations!

1/2019:   Prof. Jihan Kim has been awarded the 2018년 KAIST 공과대학 기술 혁신상.  

1/2019:   Hoeyeon has graduated with her master's degree and she will be working at the Samsung SDI.  We wish her the best of luck in the future.