Source: Topics in catalysis 67(5/8), 514-519 (2023). doi:10.1007/s11244-023-01883-8 special issue: "7th International Conference on Catalysis and Chemical

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Academic Journal

The importance/role of education in chemical engineering

Authors : Th., Meyer; Schaer, E.; Abildskov, J.

Subjects: info:eu-repo/classification/ddc/333.7DE

Source: Chemical engineering research and design 187, 164-173 (2022). doi:10.1016/j.cherd.2022.08.061 special issue: "100 years of IChemE"

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Academic Journal

Machine Learning in Chemical Engineering : A Perspective

Authors : Schweidtmann, Artur M.; Esche, Erik; Fischer, Asja

Subjects: info:eu-repo/classification/ddc/660DE

Source: Chemie - Ingenieur - Technik 93(12), 2029-2039 (2021). doi:10.1002/cite.202100083 special issue: "Special Issue: Artificial Intelligence in Chemical

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Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks : 8th - 9th July 2020 ; 3rd International Conference on Machine Learning an AI in (bio)Chemical Engineering

Authors : Rittig, Jan Gerald; Schweidtmann, Artur M.; König, Andrea

Subjects: Chemical Engineering; Deep Learning; Graph Neural NetworkDE

Source: Aachen, AVT-SVT Research Video 3, Online (2020). doi:10.18154/RWTH-2020-10114 ; 3. International Conference on Machine Learning an AI in (bio)Chemical

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Dissertation/ Thesis

MRI in chemical engineering

Authors : Benders, Stefan;

Subjects: info:eu-repo/classification/ddc/540; Bildgebung; imagingDE

Source: Aachen 1 Online-Ressource (113 Seiten) (2019). doi:10.18154/RWTH-2019-00907 = Dissertation, RWTH Aachen University, 2019

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Dissertation/ Thesis

Oxygen crossover in solid‑solid heat exchangers for solar thermochemical redox cycles

Authors : Holzemer-Zerhusen, Philipp;

Subjects: info:eu-repo/classification/ddc/620; Feststoffwärmeübertragung; SauerstoffübergangDE

Source: Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen (2024). doi:10.18154/RWTH-2024-02052 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024

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Dissertation/ Thesis

Global optimization of processes through machine learning

Authors : Schweidtmann, Artur M.;

Subjects: info:eu-repo/classification/ddc/620; chemical engineering; machine learningDE

Source: Aachen : RWTH Aachen University, Aachener Verfahrenstechnik Series AVT.SVT - Process Systems Engineering 18 (2021), 1 Online-Ressource : Illustrationen (2021).

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Book

A reusable ontology for computer-aided process engineering

Authors : Morbach, Jan

Subjects: info:eu-repo/classification/ddc/620; Formale Ontologie; OntologieDE

Source: Aachen, Verfahrenstechnik (2009). = Zugl.: Aachen, Techn. Hochsch., Diss., 2009

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Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality : July 8th, 2020 ; Cambridge

Authors : Schweidtmann, Artur M.; Grohe, Daniel; Kerkenhoff, Tim

Subjects: Bayesian optimization; Chemical Engineering; Flow chemistryDE

Source: AVT-SVT Research Video 4, Online (2020). doi:10.18154/RWTH-2020-10117 ; 3. International Conference on Machine Learning an AI in (bio)Chemical

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Deterministic global nonlinear model predictive control with recurrent neural networks embedded : 21st IFA World Congress, Germany, July 11-17, 2020

Authors : Doncevic, Danimir T.; Schweidtmann, Artur M.; Vaupel, Yannic

Subjects: Artificial Neural Network; Chemical Engineering; Global optimizationDE

Source: Aachen, AVT-SVT Research Video 2, Online (2020). doi:10.18154/RWTH-2020-10110 ; 21. IFAC World Congress, Ifac 2020, online, 2020-07-11 - 2020-07-17

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نتائج البحث

فلترة النتائج

Analysis of Charge Distributions in Functional Transition-Metal Tellurides : Contribution to the 7th International Conference on Catalysis and Chemical Engineering

The importance/role of education in chemical engineering

Machine Learning in Chemical Engineering : A Perspective

Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks : 8th - 9th July 2020 ; 3rd International Conference on Machine Learning an AI in (bio)Chemical Engineering

MRI in chemical engineering

Oxygen crossover in solid‑solid heat exchangers for solar thermochemical redox cycles

Global optimization of processes through machine learning

A reusable ontology for computer-aided process engineering

Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality : July 8th, 2020 ; Cambridge

Deterministic global nonlinear model predictive control with recurrent neural networks embedded : 21st IFA World Congress, Germany, July 11-17, 2020

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