3 papers
cs.AI2026
Predicting Space Groups of Double Perovskites by LLM with Dynamic Few-Shot Learning
Jongwon Park, Inhyo Lee, Junhyeong Lee +1
Double perovskites (DPs) offer broad compositional tunability, but predicting the space groups (SGs) of stable structures remains difficult because available datasets are often str…
cs.AI2025
Enhanced Conditional Generation of Double Perovskite by Knowledge-Guided Language Model Feedback
Inhyo Lee, Junhyeong Lee, Jongwon Park +2
Double perovskites (DPs) are promising candidates for sustainable energy technologies due to their compositional tunability and compatibility with low-energy fabrication, yet their…
cs.AI2025
IM-Chat: A Multi-agent LLM Framework Integrating Tool-Calling and Diffusion Modeling for Knowledge Transfer in Injection Molding Industry
Junhyeong Lee, Joon-Young Kim, Heekyu Kim +2
The injection molding industry faces critical challenges in preserving and transferring field knowledge, particularly as experienced workers retire and multilingual barriers hinder…