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Artur M. Schweidtmann
Artur M. Schweidtmann
Delft University of Technology, Department of Chemical Engineering
Bestätigte E-Mail-Adresse bei tudelft.nl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives
AM Schweidtmann, AD Clayton, N Holmes, E Bradford, RA Bourne, ...
Chemical Engineering Journal 352, 277-282, 2018
1432018
Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
E Bradford, AM Schweidtmann, A Lapkin
Journal of Global Optimization 71 (2), 407-438, 2018
1222018
Correction to: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
E Bradford, AM Schweidtmann, A Lapkin
Journal of Global Optimization 71 (2), 439-440, 2018
122*2018
Deterministic global optimization with artificial neural networks embedded
AM Schweidtmann, A Mitsos
Journal of Optimization Theory and Applications 180 (3), 925-948, 2019
1112019
Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis
Y Amar, AM Schweidtmann, P Deutsch, L Cao, A Lapkin
Chemical science 10 (27), 6697-6706, 2019
652019
Automated self-optimisation of multi-step reaction and separation processes using machine learning
AD Clayton, AM Schweidtmann, G Clemens, JA Manson, CJ Taylor, ...
Chemical Engineering Journal 384, 123340, 2020
572020
Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks
AM Schweidtmann, WR Huster, JT Lüthje, A Mitsos
Computers & Chemical Engineering 121, 67-74, 2019
512019
Graph neural networks for prediction of fuel ignition quality
AM Schweidtmann, JG Rittig, A König, M Grohe, A Mitsos, M Dahmen
Energy & fuels 34 (9), 11395-11407, 2020
482020
Rational design of ion separation membranes
D Rall, D Menne, AM Schweidtmann, J Kamp, L von Kolzenberg, A Mitsos, ...
Journal of Membrane Science 569, 209-219, 2019
462019
Model-based bidding strategies on the primary balancing market for energy-intense processes
P Schäfer, HG Westerholt, AM Schweidtmann, S Ilieva, A Mitsos
Computers & Chemical Engineering 120, 4-14, 2019
382019
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes
E Bradford, AM Schweidtmann, D Zhang, K Jing, EA del Rio-Chanona
Computers & Chemical Engineering 118, 143-158, 2018
362018
A Multiobjective Optimization Including Results of Life Cycle Assessment in Developing Biorenewables‐Based Processes
D Helmdach, P Yaseneva, PK Heer, AM Schweidtmann, AA Lapkin
ChemSusChem 10 (18), 3632-3643, 2017
332017
Working fluid selection for organic rankine cycles via deterministic global optimization of design and operation
WR Huster, AM Schweidtmann, A Mitsos
Optimization and Engineering 21 (2), 517-536, 2020
302020
Techno-economic Optimization of a Green-Field Post-Combustion CO2 Capture Process Using Superstructure and Rate-Based Models
U Lee, J Burre, A Caspari, J Kleinekorte, AM Schweidtmann, A Mitsos
Industrial & Engineering Chemistry Research 55 (46), 12014-12026, 2016
252016
Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning
D Rall, AM Schweidtmann, M Kruse, E Evdochenko, A Mitsos, M Wessling
Journal of Membrane Science 608, 118208, 2020
212020
Simultaneous rational design of ion separation membranes and processes
D Rall, AM Schweidtmann, BM Aumeier, J Kamp, J Karwe, K Ostendorf, ...
Journal of Membrane Science 600, 117860, 2020
212020
Impact of accurate working fluid properties on the globally optimal design of an organic Rankine cycle
WR Huster, AM Schweidtmann, A Mitsos
Computer aided chemical engineering 47, 427-432, 2019
152019
Deterministic global process optimization: Flash calculations via artificial neural networks
AM Schweidtmann, D Bongartz, WR Huster, A Mitsos
Computer Aided Chemical Engineering 46, 937-942, 2019
142019
Deterministic global superstructure-based optimization of an organic Rankine cycle
WR Huster, AM Schweidtmann, JT Lüthje, A Mitsos
Computers & Chemical Engineering 141, 106996, 2020
132020
Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices
P Schäfer, AM Schweidtmann, PHA Lenz, HMC Markgraf, A Mitsos
Computers & chemical engineering 132, 106598, 2020
122020
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