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Alexander Mitsos

Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data

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Jun 03, 2024
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Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization

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Mar 21, 2024
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Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy

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Mar 13, 2024
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Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks

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Mar 06, 2024
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Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study

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Jan 09, 2024
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Graph Neural Networks for Surfactant Multi-Property Prediction

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Jan 03, 2024
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Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory

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Sep 11, 2023
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End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear MPC

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Aug 03, 2023
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Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction

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May 31, 2023
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A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms

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Nov 22, 2022
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