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Modeling of Scalar Dependencies of Soft Magnetic Material Magnetization for Electrical Machine Finite-Element Simulation2020 IEEE Transactions on Magnetics article Materials Science Magnetic Properties and Applications cited by 1 patent
Xiao Xiao, Fabian Müller, Gregor Bavendiek, Nora Leuning, Pengfei Zhang, Jun Zou, +1 more
7citations -
Predicting Grain Boundary Segregation in Magnesium Alloys: An Atomistically Informed Machine Learning Approach2024 RWTH Publications (RWTH Aachen) article Materials Science Magnesium Alloys: Properties and Applications Open access
Zhuocheng Xie, Achraf Atila, Julien Guénolé, Sandra Korte‐Kerzel, Talal Al‐Samman, U. Kerzel
2citations -
Development of a hybrid DLT cloud architecture for the automated use of finite element simulation as a service for fine blanking2020 The International Journal of Advanced Manufacturing Technology article Engineering Digital Transformation in Industry Open access
Joachim Stanke, Martin Unterberg, Daniel Trauth, Thomas Bergs
12citations -
Compact thermo-mechanical models for the fast simulation of machine tools with nonlinear component behavior2022 at - Automatisierungstechnik article Physics and Astronomy Model Reduction and Neural Networks Open access
Julia Vettermann, Alexander Steinert, Christian Brecher, Peter Benner, Jens Saak
12citations -
A Machine Learning based approach to predict road rutting considering uncertainty2024 Case Studies in Construction Materials article Engineering Asphalt Pavement Performance Evaluation Open access
Ke Chen, Mehran Eskandari Torbaghan, Nick H. Thom, Álvaro García, Asaad Faramarzi, David Chapman
17citations -
Parts of a whole: First Sketch of a Block Approach for Interaction Pattern Elements in Cooperative Systems2022 Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics conference-paper Psychology Human-Automation Interaction and Safety
Daniel López Hernández, Daria Vorst, Marcel Balzer, Konrad Bielecki, Frank Ole Flemisch
6citations -
Physics-based machine learning for modeling thermo-hydraulic processes in a coaxial deep borehole heat exchanger, considering an explicit reservoir-wellbore representation: A case study of Cornwall, UK
Dimitra Teza, Ryan Santoso, Nora Koltzer, Denise Degen, Tony Bennett, Florian Wellmann
0citations