5 papers
A Multi-Agent Framework for Automated Coarse-Grained Molecular Dynamics of Polymers
Joohee Choi, Junhyeong Lee, Seunghwa Ryu
Coarse-grained (CG) molecular dynamics extends polymer simulation beyond the scales accessible to all-atom (AA) methods, but bottom-up CG modeling is laborious. The CG resolution i…
Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks
Hanbin Cho, Jecheon Yu, Hyeonbin Moon +5
Reliable real-time analysis of sensor data is essential for structural health monitoring (SHM) of high-value assets, yet a major challenge is to obtain spatially resolved full-fiel…
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…
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…
DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production
Joon-Young Kim, Jecheon Yu, Heekyu Kim +1
Plastic injection molding remains essential to modern manufacturing. However, optimizing process parameters to balance product quality and profitability under dynamic environmental…