Search Results - "Manuel Dahmen"

Application of AI Optimization Algorithms to Service-Oriented Architecture Design.

Authors: Xie, Fei

Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p5851-5869, 19p

Subject Terms: SERVICE-oriented architecture (Computer science), DISTRIBUTED computing, INFORMATION storage & retrieval systems, REINFORCEMENT learning, CLOUD computing, QUALITY of service

Toward co-optimization of renewable fuel blend production and combustion in ultra-high efficiency SI engines.

Authors: Burkardt, Patrick Ottenwälder, Tamara König, Andrea et al.

Source: International Journal of Engine Research (Sage Publications, Ltd.); Jan2023, Vol. 24 Issue 1, p29-41, 13p

A RECURSIVELY RECURRENT NEURAL NETWORK (R2N2) ARCHITECTURE FOR LEARNING ITERATIVE ALGORITHMS.

Authors: DONCEVIC, DANIMIR T. MITSOS, ALEXANDER YUE GUO et al.

Source: SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 2, pA719-A743, 25p

Subject Terms: MACHINE learning, RECURRENT neural networks, DEEP learning, WEIGHT training, ORDINARY differential equations, LINEAR systems

Designed to Be Green, Economic, and Efficient: A Ketone‐Ester‐Alcohol‐Alkane Blend for Future Spark‐Ignition Engines.

Authors: Ackermann, Philipp Braun, Karsten E. Burkardt, Patrick et al.

Source: ChemSusChem; 12/6/2021, Vol. 14 Issue 23, p5254-5264, 11p

Subject Terms: SUSTAINABLE design, ENGINES, ECOLOGICAL impact, INDUSTRIAL costs, TIME measurements, GASOLINE, HEPTANE

Graph machine learning for design of high‐octane fuels.

Authors: Rittig, Jan G. Ritzert, Martin Schweidtmann, Artur M. et al.

Source: AIChE Journal; Apr2023, Vol. 69 Issue 4, p1-18, 18p

Subject Terms: MACHINE learning, COMPUTER-assisted molecular design, MACHINE design, ANTIKNOCK gasoline, CARBON emissions

Contents list.

Source: Green Chemistry; 5/7/2019, Vol. 21 Issue 9, p2153-2163, 11p

Subject Terms: INDUSTRIAL chemistry, INTERNET protocols, FOOD waste

Demand response potential of industrial processes considering uncertain short-term electricity prices.

Authors: Germscheid, Sonja H. M. Mitsos, Alexander Dahmen, Manuel

Source: AIChE Journal; Nov2022, Vol. 68 Issue 11, p1-14, 14p

Subject Terms: ELECTRICITY pricing, INDUSTRIAL capacity, MIXED integer linear programming, LINEAR programming, PRICES, VALUE at risk, STOCHASTIC programming

Simultaneous mixed‐integer dynamic scheduling of processes and their energy systems.

Authors: Baader, Florian Joseph Bardow, André Dahmen, Manuel

Source: AIChE Journal; Aug2022, Vol. 68 Issue 8, p1-19, 19p

Subject Terms: MIXED integer linear programming, LINEAR programming, SCHEDULING, ENERGY consumption, ELECTRICITY pricing

PERSONALIZED ALGORITHM GENERATION: A CASE STUDY IN LEARNING ODE INTEGRATORS.

Authors: YUE GUO DIETRICH, FELIX BERTALAN, TOM et al.

Source: SIAM Journal on Scientific Computing; 2022, Vol. 44 Issue 4, pA1911-A1933, 23p

Subject Terms: NUMERICAL solutions to differential equations, DIFFERENTIAL forms, INTEGRATORS, ORDINARY differential equations, INITIAL value problems, NUMERICAL analysis

Physical pooling functions in graph neural networks for molecular property prediction

Authors: Schweidtmann, A.M. (author) Rittig, J. (author) Weber, J.M. (author) et al.

Subject Terms: Graph convolutional neural networks, Physics-informed machine learning, Pooling function, Property prediction

Relation: http://www.scopus.com/inward/record.url?scp=85149340054&partnerID=8YFLogxK; Computers & Chemical Engineering--0098-1354--cac7da27-ad90-479b-b309-f3b0ad7e1e0c; https://doi.org/10.1016/j.compchemeng.2023.108202

Availability: http://resolver.tudelft.nl/uuid:9081cd83-4687-49f1-bab2-5ec8c1665060
https://doi.org/10.1016/j.compchemeng.2023.108202

Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids

Authors: Rittig, J. (author) Ben Hicham, Karim (author) Schweidtmann, A.M. (author) et al.

Subject Terms: Activity coefficient prediction, Graph learning, Green solvents, Ionic liquids, Machine learning

Relation: http://www.scopus.com/inward/record.url?scp=85147562685&partnerID=8YFLogxK; Computers & Chemical Engineering--0098-1354--cac7da27-ad90-479b-b309-f3b0ad7e1e0c; https://doi.org/10.1016/j.compchemeng.2023.108153

Availability: http://resolver.tudelft.nl/uuid:f9c33150-d32d-417c-b7a8-1f5071ef71d0
https://doi.org/10.1016/j.compchemeng.2023.108153

Electrochemical cross-coupling of biogenic di-acids for sustainable fuel production.

Authors: Holzhäuser, F. Joschka Creusen, Guido Moos, Gilles et al.

Source: Green Chemistry; 5/7/2019, Vol. 21 Issue 9, p2334-2344, 11p

Subject Terms: BIOGENIC amines, INTERNAL combustion engines, FUEL, SUSTAINABLE chemistry, PHASE separation, AQUEOUS solutions

Graph machine learning for design of high-octane fuels

Authors: Rittig, J. (author) Ritzert, Martin (author) Schweidtmann, A.M. (author) et al.

Subject Terms: computer-aided molecular design, fuel design, graph machine learning, graph neural networks, machine learning, optimization, renewable fuels, spark-ignition engines

Relation: http://www.scopus.com/inward/record.url?scp=85145055785&partnerID=8YFLogxK; AIChE Journal--0001-1541--4512daa2-8af2-4936-917b-51f3a3f588fb; https://doi.org/10.1002/aic.17971

Availability: http://resolver.tudelft.nl/uuid:e645b25f-716a-4fa2-8b91-6803ac781d0f
https://doi.org/10.1002/aic.17971

34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering : ESCAPE-34/PSE2024

Authors: Flavio Manenti G.V. Rex Reklaitis

Resource Type: eBook.

Categories: TECHNOLOGY & ENGINEERING / Chemical & Biochemical, COMPUTERS / Business & Productivity Software / Business Intelligence

Machine Learning and Hybrid Modelling for Reaction Engineering : Theory and Applications

Authors: Dongda Zhang Ehecatl Antonio del Río Chanona

Resource Type: eBook.

Subjects: Machine learning, Cheminformatics, Chemical reactions--Data processing

Categories: SCIENCE / Chemistry / Computational & Molecular Modeling, TECHNOLOGY & ENGINEERING / Chemical & Biochemical

14th International Symposium on Process Systems Engineering

Authors: Yoshiyuki Yamashita Manabu Kano

Resource Type: eBook.

Categories: TECHNOLOGY & ENGINEERING / Chemical & Biochemical, COMPUTERS / Business & Productivity Software / Business Intelligence

30th European Symposium on Computer Aided Chemical Engineering

Authors: Sauro Pierucci Flavio Manenti Giulia Luisa Bozzano et al.

Resource Type: eBook.

Categories: TECHNOLOGY & ENGINEERING / Chemical & Biochemical, COMPUTERS / Business & Productivity Software / Business Intelligence

11th International Symposium on Process Systems Engineering - PSE2012

Authors: Iftekhar A Karimi Rajagopalan Srinivasan

Resource Type: eBook.

Subjects: Chemical engineering--Data processing--Congresses

Categories: SCIENCE / Chemistry / General, SCIENCE / Chemistry / Industrial & Technical, SCIENCE / Environmental Science, TECHNOLOGY & ENGINEERING / General, TECHNOLOGY & ENGINEERING / Chemical & Biochemical