2 papers
eess.SY2026
Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge
Liqiu Dong, Marta Zagórowska, Mehmet Mercangöz
We study data-driven real-time economic optimization of a multi-product chemical reactor when no reliable first-principles model is available beyond a steady-state energy balance.…
eess.SY2024
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information
Liqiu Dong, Marta Zagorowska, Tong Liu +2
Physics informed neural networks (PINNs) have recently been proposed as surrogate models for solving process optimization problems. However, in an active learning setting collectin…