1. Machine learning interatomic potential enables interface-level insights into cathode/solid electrolyte adhesion in sodium-ion batteries
Woojin Shin, Kyoungmin Min*
Journal of Energy Storage, Volume 154, Part B, 10 April 2026, 121104
(IF: 9.8, JCR Q1, High Rank : 14.3%)

2. Surface orientation-dependent adhesion behavior in Na-cathode and solid-state electrolyte interfaces using Machine learning interatomic potential
Woojin Shin†, Juo Kim†, Jiwon Sun, Jungjae Hwang, Jonghyuk Kim, Kyoungmin Min*
Journal of Power Sources, Volume 653, 15 October 2025, 237670
(IF: 7.9, JCR Q1, High Rank: 15.9%)

3. Scalable AI-accelerated design of dual-doped LGPS electrolytes for next-generation solid-state batteries
Yerim Jung, Jiwon Sun, Juo Kim, Woojin Shin, Kyoungmin Min*
eTransportation, Volume 28, May 2026, 100570
(IF: 17.0, JCR Q1, High Rank: 1.3%)

4. Data-efficient training of machine learning interatomic potentials for MAX-phase synthesizability prediction
Jonghyuk Kim, Woojin Shin, Jungjae Hwang, Junghyeon Kwon, Sanghyeon Song, Kyoungmin Min*
Journal of Materials Chemistry A, 2026
(IF: 9.5, JCR Q1, High Rank: 13.7%)

5. Data-driven curation of organometallic precursor boiling points via natural language processing
Jungjae Hwang, Taehyun Park, Jinyoung Jeong, Seungpyo Kang, JunHo Song, Jonghyuk Kim, Ahhyun Jeong, Woojin Shin, Jungim Han, Joonghee Won, Kyoungmin Min*
Materials & Design, Volume 260, December 2025, 115253
(IF: 7.9, JCR Q1, High Rank: 19.1%)

6. Machine learning-guided screening of phase-stable high-entropy Na cathodes to enable EVs and low-cost charging storage systems
Ahhyun Jeong, Seungpyo Kang, Taeseo Ko, JunHo Song, Yerim Jung, Woojin Shin, Jiwon Sun and Kyoungmin Min
Journal of Materials Chemistry A, 2026
(IF: 9.5, JCR Q1, High Rank: 13.7%)