Alexander Mitsos

RWTH Aachen University

Germany

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Articles (11)

Year:

2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

Gibbs–Duhem-informed neural networks provide a flexible hybrid approach to predicting binary activity coefficients with both high accuracy and thermodynamic consistency.

Year:

2023

Year:

2023

Collaborators (8)

André Bardow

Professor

ETH Zürich

SWITZERLAND

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Jannik Burre

RWTH Aachen University

GERMANY

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Kai Leonhard

RWTH Aachen University

GERMANY

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Angelos Tsoukalas

Erasmus University Rotterdam

NETHERLANDS

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Dominik Bongartz

Assistant Professor

KU Leuven

BELGIUM

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Artur M. Schweidtmann

Assistant Professor

Delft University of Technology

NETHERLANDS

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Adel Mhamdi

Professor

Rheinisch Westfalische Technische Hochschule Aachen

GERMANY

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Lars M. Blank

RWTH Aachen University

GERMANY

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Alexander Mitsos

Research Interests

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Articles (11)

Demand response scheduling of copper production under short-term electricity price uncertainty

Dynamic Modeling and Plantwide Control of a Production Process for Biodiesel and Glycerol

Geometry optimization of a continuous millireactor via CFD and Bayesian optimization

Cost-optimal Power-to-Methanol: Flexible operation or intermediate storage?

Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation

Comparison of MINLP formulations for global superstructure optimization

Towards global parameter estimation exploiting reduced data sets

Graph machine learning for design of high‐octane fuels

Physical pooling functions in graph neural networks for molecular property prediction

Gibbs–Duhem-informed neural networks for binary activity coefficient prediction

Co-feeding enhances the yield of methyl ketones

Collaborators (8)

André Bardow

Jannik Burre

Kai Leonhard

Angelos Tsoukalas

Dominik Bongartz

Artur M. Schweidtmann

Adel Mhamdi

Lars M. Blank

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