SAINT

SAINT에서는 오하이오 주립대학교 Joseph S. Kwon 교수님을 모시고 세미나를 개최합니다. 

많은 관심 부탁드립니다.

○ 주제 : Hybrid Modeling of Chemical Processes: Integrating Physics with Machine Learning to Capture Missing Physics

○ 대상 : 학부생, 대학원생 누구나

○ 일시 : 6월 15일 16:00 ~

○ 장소 : 제2종합연구동 A동 로비

□  약력

□ Title

  Hybrid Modeling of Chemical Processes: Integrating Physics with Machine Learning to Capture Missing Physics

□ Abstract

Traditional dynamic modeling of chemical processes relies on first-principles models grounded in the fundamental laws of physics and chemistry. These models, primarily formulated as differential equations with constant parameters, enable the calculation of control actions that optimize process operations while accounting for both process and actuator limitations. Although we possess substantial knowledge of most chemical process systems, it is difficult to claim perfect knowledge. To address this gap, we have developed a hybrid modeling framework that combines system-agonistic first-principles dynamics with a machine learning model (e.g., a transformer model, which has been a cornerstone of ChatGPT’s success) to capture the missing physics. This framework is applicable across modeling types (e.g., DFT, MD, kMC, and CFD) and scales (from lab to plant), and is currently being demonstrated in partnership with leading chemical process industries.