Boukouvala, F.

Authored

(347b) Sampling-Based Vs. Surrogate-Based Techniques for Data-Driven Optimization: A Comparative Study of Adaptive Sampling and Hybrid-Modeling Approaches
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(356a) A Hybrid Population Balance Formulation for the Mechanochemical Depolymerization of Plastic Waste
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(61c) Simulation and Optimization of the Supply-Chain of Plastic Recycling with Environmental Considerations
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(63c) A Simultaneous Material Screening and Process Optimization Approach for Carbon Capture Using Machine Learning
2023 Spring Meeting and 19th Global Congress on Process Safety
(150a) Integrating Chemical Engineering Principles with Machine Learning for Modeling and Optimization
2023 Spring Meeting and 19th Global Congress on Process Safety
(104a) Multi-Fidelity Surrogate Models to Generate Low-Fidelity Data for Data-Driven Branch-and-Bound Optimization
2023 Spring Meeting and 19th Global Congress on Process Safety
(362h) Physics Informed Machine Learning for Feasibility Analysis
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(350d) Generalizing Physics-Informed Neural Networks to Unseen Boundary and Initial Conditions
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(362ac) Physics-Based Penalization for Hyperparameter Optimization in Gaussian Process Regression
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(234e) Global Convergence Analysis of Data-Driven Spatial Branch-and-Bound Algorithms
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

Related Proceedings

2022 Annual Meeting2023 AIChE Annual Meeting2023 Spring Meeting and 19th Global Congress on Process Safety