Person

Artur Schweidtmann

M. Sc.

Scientific Staff

Artur Schweidtmann
Process Systems Engineering

Address

Building: 5001

Room: A-203

Forckenbeckstraße 51

52074 Aachen

Contact

workPhone
Phone: +49 241 80 97018

Office Hours

nach Vereinbarung
 

Journal Article

Title Author(s)
Graph Neural Networks for Prediction of Fuel Ignition Quality
Erschienen in: Energy & fuels (2020)
Schweidtmann, Artur M.
Rittig, Jan G.
König, Andrea
Grohe, Martin
Mitsos, Alexander
Dahmen, Manuel
Nonlinear scheduling with time-variable electricity prices using sensitivity-based truncations of wavelet transforms
Erschienen in: AIChE journal (2020)
Schäfer, Pascal
Schweidtmann, Artur M.
Mitsos, Alexander
Deterministic global superstructure-based optimization of an organic Rankine cycle
Erschienen in: Computers & chemical engineering (2020)
Huster, Wolfgang Raphael
Schweidtmann, Artur M.
Lüthje, Jannik T.
Mitsos, Alexander
Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning
Erschienen in: Journal of membrane science (2020)
Rall, Deniz Patrick
Schweidtmann, Artur M.
Kruse, Maximilian
Evdochenko, Elizaveta
Mitsos, Alexander
Wessling, Matthias
Simultaneous rational design of ion separation membranes and processes
Erschienen in: Journal of membrane science (2020)
Rall, Deniz Patrick
Schweidtmann, Artur M.
Aumeier, Benedikt Maximilian
Kamp, Johannes
Karwe, Jannik
Ostendorf, Katrin
Mitsos, Alexander
Wessling, Matthias
Wavelet-based grid-adaptation for nonlinear scheduling subject to time-variable electricity prices
Erschienen in: Computers & chemical engineering (2019)
Schäfer, Pascal
Schweidtmann, Artur M.
Lenz, Philipp H. A.
Markgraf, Hannah M. C.
Mitsos, Alexander
Automated Self-Optimisation of Multi-Step Reaction and Separation Processes Using Machine Learning
Erschienen in: The chemical engineering journal (2019)
Clayton, Adam D.
Schweidtmann, Artur M.
Clemens, Graeme
Manson, Jamie A.
Taylor, Connor J.
Niño, Carlos G.
Chamberlain, Thomas W.
Kapur, Nikil
Blacker, A. John
Lapkin, Alexei
Bourne, Richard A.
Working fluid selection for organic rankine cycles via deterministic global optimization of design and operation
Erschienen in: Optimization and engineering (2019)
Huster, Wolfgang Raphael
Schweidtmann, Artur M.
Mitsos, Alexander
Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis
Erschienen in: Chemical science (2019)
Amar, Yehia
Schweidtmann, Artur M.
Deutsch, Paul
Cao, Liwei
Lapkin, Alexei
Deterministic Global Process Optimization: Accurate (Single-Species) Properties via Artificial Neural Networks
Erschienen in: Computers & chemical engineering (2018)
Schweidtmann, Artur M.
Huster, Wolfgang Raphael
Lüthje, Jannik T.
Mitsos, Alexander
Model-based bidding strategies on the primary balancing market for energy-intense processes
Erschienen in: Computers & chemical engineering (2018)
Schäfer, Pascal
Westerholt, Hermann Graf
Schweidtmann, Artur M.
Ilieva, Svetlina
Mitsos, Alexander
Deterministic Global Optimization with Artificial Neural Networks Embedded
Erschienen in: Journal of optimization theory and applications : JOTA (2018)
Schweidtmann, Artur M.
Mitsos, Alexander
Rational Design of Ion Separation Membranes
Erschienen in: Journal of membrane science (2018)
Rall, Deniz Patrick
Menne, Daniel
Schweidtmann, Artur M.
Kamp, Johannes
von Kolzenberg, Lars
Mitsos, Alexander
Wessling, Matthias
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes
Erschienen in: Computers & chemical engineering (2018)
Bradford, Eric
Schweidtmann, Artur M.
Zhang, Dongda
Jing, Keju
Antonio del Rio-Chanona, Ehecatl
Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives
Erschienen in: The chemical engineering journal (2018)
Schweidtmann, Artur M.
Clayton, Adam D.
Holmes, Nicholas
Bradford, Eric
Bourne, Richard A.
Lapkin, Alexei
Correction to: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
Erschienen in: Journal of global optimization (2018)
Bradford, Eric
Schweidtmann, Artur M.
Lapkin, Alexei
Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
Erschienen in: Journal of global optimization (2018)
Bradford, Eric
Schweidtmann, Artur M.
Lapkin, Alexei
The concept of selectivity control by simultaneous distribution of the oxygen feed and wall temperature in a microstructured reactor
Erschienen in: The chemical engineering journal (2017)
Aworinde, Samson M.
Schweidtmann, Artur M.
Lapkin, Alexei
A Multiobjective Optimization Including Results of Life Cycle Assessment in Developing Biorenewables-Based Processes
Erschienen in: ChemSusChem (2017)
Helmdach, Daniel
Yaseneva, Polina
Heer, Parminder K.
Schweidtmann, Artur M.
Lapkin, Alexei
Techno-economic Optimization of a Green-Field Post-Combustion CO2 Capture Process Using Superstructure and Rate-Based Models
Erschienen in: Industrial & engineering chemistry research (2016)
Lee, Ung
Burre, Jannik
Caspari, Adrian
Kleinekorte, Johanna
Schweidtmann, Artur M.
Mitsos, Alexander
 

Contribution to a conference proceedings

Titel Author(s)
Deterministic global nonlinear model predictive control with recurrent neural networks embedded
Published in: [IFAC World Congress 2020, Ifac 2020, 2020-07-11 - 2020-07-17, Berlin, Germany] (2020)
Doncevic, D. T.
Schweidtmann, Artur M.
Vaupel, Yannic
Schäfer, Pascal
Caspari, Adrian
Mitsos, Alexander
Deterministic Global Process Optimization : Flash Calculations via Artificial Neural Networks
Published in: 29th European Symposium on Computer Aided Chemical Engineering / edited by Anton A. Kiss (The University of Manchester, United Kingdom), Edwin Zondervan (University of Bremen, Germany), Richard Lakerveld (The Hong Kong University of Science and Technology), Leyla Özkan (Eindhoven University of Technology, The Netherlands). - Part A (2019)
Schweidtmann, Artur M.
Bongartz, Dominik
Huster, Wolfgang Raphael
Mitsos, Alexander
Impact of Accurate Working Fluid Properties on the Globally Optimal Design of an Organic Rankine Cycle
Published in: FOCAPD-19/proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, July 14-18, 2019 / edited by Salvador Garcia Munoz, Carl D. Laird, Matthew J. Realff (2019)
Huster, Wolfgang Raphael
Schweidtmann, Artur M.
Mitsos, Alexander
Working fluid selection for organic rankine cycles via deterministic global optimization of design and operation
Published in: Optimization and engineering (2019)
Huster, Wolfgang Raphael
Schweidtmann, Artur M.
Mitsos, Alexander
Rational solvent selection in asymmetric hydrogenation using molecular descriptors and machine learning
Published in: ACS national meeting. - 256 (2018)
Amar, Yehia
Schweidtmann, Artur M.
Deutsch, Paul
Lapkin, Alexei
 

Conference Presentation

Title Author(s)
Simultaneous data-driven development of membranes and processes (2020)Rall, Deniz Patrick
Schweidtmann, Artur M.
Aumeier, Benedikt Maximilian
Kamp, Johannes
Mitsos, Alexander
Wessling, Matthias
Global optimization with hybrid models embedded (2020)Schweidtmann, Artur M.
Mitsos, Alexander
Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks (2020)Rittig, Jan
Schweidtmann, Artur M.
König, Andrea
Dahmen, Manuel
Grohe, Martin
Mitsos, Alexander
Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality (2020)Schweidtmann, Artur M.
Bongartz, Dominik
Najman, Jaromil
Mitsos, Alexander
Multi-objective self-optimisation of complex continuous flow processes (2019)Clayton, A.
Schweidtmann, Artur M.
Holmes, N.
Bradford, E.
Lapkin, A.
Bourne, R.
Global Optimization with Machine-Learning Surrogate Models Embedded (2019)Schweidtmann, Artur M.
Mitsos, Alexander
Geometrieoptimierung eines kontinuierlichen Millireaktors mittels CFD und maschinellem Lernen (2019)Begall, Moritz Johannes
Schweidtmann, Artur M.
Mhamdi, Adel
Mitsos, Alexander
Global optimization with neural networks embedded: theory, applications, and future work (2019)Schweidtmann, Artur M.
Bongartz, Dominik
Huster, Wolfgang Raphael
Najman, Jaromil
Rall, Deniz Patrick
Schäfer, Pascal
Wessling, Matthias
Mitsos, Alexander
A Hybrid Stochastic/Gradient-Based Multi-Objective Dynamic Optimization of Vacuum Swing Adsorption (2019)Hao, Zhimian
Schweidtmann, Artur M.
Vaupel, Yannic
Caspari, Adrian
Lapkin, Alexei
Mhamdi, Adel
Mitsos, Alexander
Reduced Space Formulation for Global Optimization with Gaussian Processes (Kriging) Embedded (2019)Schweidtmann, Artur M.
Lin, Xiaopeng
Mitsos, Alexander
MAiNGO - McCormick-based Algorithm for mixed-integer Nonlinear Global Optimization (2019)Mitsos, Alexander
Najman, Jaromil
Bongartz, Dominik
Saß, Susanne
Djelassi, Hatim
Jungen, Daniel
Huster, Wolfgang Raphael
Burre, Jannik
Karacasulu, Kaan
Schweidtmann, Artur M.
MAiNGO - McCormick-based Algorithm for mixed-integer Nonlinear Global Optimization (2019)Najman, Jaromil
Bongartz, Dominik
Saß, Susanne
Burre, Jannik
Djelassi, Hatim
Huster, Wolfgang Raphael
Karacasulu, Kaan
Schweidtmann, Artur M.
Mitsos, Alexander
Machine learning meets continuous flow chemistry: Multi-objective self-optimisation (2019)Clayton, Adam David
Schweidtmann, Artur M.
Holmes, Nicholas
Bradford, Eric
Lapkin, Alexei
Bourne, Richard
Reduced Space Formulation for Global Optimization with Artificial Neural Networks Embedded (2018)Schweidtmann, Artur M.
Mitsos, Alexander
Global Deterministic Surrogate-Based Process Design (2018)Schweidtmann, Artur M.
Huster, Wolfgang Raphael
Mitsos, Alexander
Rational solvent selection in asymmetric hydrogenation using molecular descriptors and machine learning (2018)Amar, Yehar
Schweidtmann, Artur M.
Deutsch, Paul
Lapkin, Alexei
Artificial Neural Networks Design Layer-by-Layer Nanofiltration Membranes (2018)Rall, Deniz
Menne, Daniel
Schweidtmann, Artur M.
Kamp, J.
von Kolzenberg, L.
Deterministisch globale Optimierung von hybriden Prozessmodellen mit künstlichen neuronalen Netzen (2018)Schweidtmann, Artur M.
Huster, Wolfgang Raphael
Bongartz, Dominik
Mitsos, Alexander
Modelloptimierte Produktionsplanung für energieintensive Elektrolyseprozesse unterschwankenden Energiepreisen (2018)Brée, Luisa Carola
Schäfer, Pascal
Schweidtmann, Artur M.
Mitsos, Alexander
Production of terpene-based intermediates from industrial waste feedstocks: integrated environmental assessment and process modelling study (2018)Yaseneva, P
Helmdach, D.
Heer, P.
Schweidtmann, Artur M.
Lapkin, Alexei
FlexASU: Flexibilisierung des Betriebs von Luftzerlegungsanlagen (2017)Mitsos, Alexander
Klein, Harald
Schliebitz, Florian
Peschel, Andreas
Mhamdi, Adel
Lochner, Stefan
Schweidtmann, Artur M.
Caspari, Adrian
Haider, Patrick
Kender, Robert
Rehfeldt, Sebastian
Schäfer, Pascal
 

Presentation

Title Author(s)
Global optimization with machine-learning models embedded (2020)Schweidtmann, Artur M.
Mitsos, Alexander
Combining machine learning and optimization for optimal design and operation of processes (2020)Schweidtmann, Artur M.
Bongartz, Dominik
Huster, Wolfgang Raphael
Najman, Jaromil
Rall, Deniz Patrick
Wessling, Matthias
Lapkin, A.
Mitsos, Alexander
Deterministic Global Optimization of Artificial Neural Networks (2018)Schweidtmann, Artur M.
Mitsos, Alexander
 

Poster

Title Author(s)
Graph Neural Networks for Prediction of Fuel Ignition Quality (2020)Rittig, Jan
Schweidtmann, Artur M.
König, Andrea
Ackermann, Philipp
Dahmen, Manuel
Grohe, M.
Mitsos, Alexander
Multi-objective Bayesian optimisation of a tree-step synthesis of terephthalic acid from crude sulphate turpentine (2020)Jorayev, P
Russo, D.
Schweidtmann, Artur M.
Deutsch, P.
Lapkin, A.
Nonlinear Dynamic System Identification of Monoclonal Antibody Production (2019)Shabnam, Fathima
Romanov, Anna
Kappatou, Chrysoula Dimitra
Schweidtmann, Artur M.
Mitsos, Alexander
Optimization of Flowsheets via Surrogate Models (2019)Hao, Z.
Schweidtmann, Artur M.
Lapkin, Alexei
Optimization-Based Retrofit of a Cryogenic Air Separation Unit for Flexible Operation (2018)Schweidtmann, Artur M.
Schäfer, Pascal
Caspari, Adrian
Seele, Hagen
Padberg, Pascal
Offermanns, Christoph
Mhamdi, Adel
Mitsos, Alexander
Deterministic Global Optimization of Bio-Processes Using Artificial Neural Network Surrogate Modeling (2018)Schweidtmann, Artur M.
Graß, Nils
Mitsos, Alexander
Feasibility of selectivity improvement in a novel microstructured membrane reactor (2017)Aworinde, Samson M.
Schweidtmann, Artur M.
Lapkin, Alexei
Process Design for Optimal Dynamic Operation of a Cryogenic Air Separation Unit (2017)Padberg, Pascal
Schweidtmann, Artur M.
Caspari, Adrian
Schäfer, Pascal
Mhamdi, Adel
Mitsos, Alexander
Advanced Process Control for Optimal Operation of an Air Separation Unit under Fast-Changing Market Dynamics (2017)Bering, Luise
Schäfer, Pascal
Caspari, Adrian
Schweidtmann, Artur M.
Mhamdi, Adel
Mitsos, Alexander
Utilizing machine learning for the multi-objective self-optimisation of chemical reaction systems (2017)Schweidtmann, Artur M.
Homles, Nicholas
Bradford, E.
Bourne, R.
Lapkin, Alexei
Multi-objective Optimization of Expensive Simulations for Efficient and Sustainable Chemical Processes (2016)Schweidtmann, Artur M.
Bradford, Eric
Helmdach, Daniel
Yaseneva, Polina
Heer, Parminder Kaur
Lapkin, Alexei