MS344G Agentic AI and Physics-Informed Machine Learning for Next-Generation Design and Manufacturing VII
Main Organizer:
Prof.
Seunghwa Ryu
(
KAIST
, Republic of Korea
)
Chaired by:
Prof. IKJIN LEE (KAIST , Republic of Korea) , Prof. Jaewook Lee (Gwangju Institute of Science and Technology (GIST) , Republic of Korea)
Prof. IKJIN LEE (KAIST , Republic of Korea) , Prof. Jaewook Lee (Gwangju Institute of Science and Technology (GIST) , Republic of Korea)
Scheduled presentations:
-
Knowledge-Guided Conditional Generation of Double Perovskites via Language Model Feedback
-
Mechanical Property Prediction in Two-Dimensional Materials Based on Language Models with Graph-Structured Crystal Representations
-
Bayesian Optimization of Lattice-Truss Structures with Ultrawide Phononic Bandgaps
-
Toolpath Planning for Bed-Based Additive Manufacturing using Reinforcement Learning
-
Design Optimization of Electric Motors with Variable Topologies via Incremental Learning Strategy
-
AI-Based Shape Optimization of Dryer Pipe Geometry
