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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 -
Machine learning-accelerated CALPHAD analysis of impurity-driven intermetallic formation in secondary AlSi7Mg0.32026 npj Materials Sustainability article Materials Science Machine Learning in Materials Science Open access
Lukas C. Jarren, Alexandre Viardin, Eugen Gazenbiller, Markus Apel, Janin Eiken, Qiqi Li, +2 more
2citations -
Predicting grain boundary segregation in magnesium alloys: An atomistically informed machine learning approach2025 Journal of Magnesium and Alloys article Materials Science Magnesium Alloys: Properties and Applications Open access
Zhuocheng Xie, Achraf Atila, Julien Guénolé, Sandra Korte‐Kerzel, Talal Al‐Samman, U. Kerzel
9citations -
Functionalization of All-Oxide Ceramic Matrix Composites Elements Using Three-Dimensional Braiding and Pressure Slip Casting for Composite Processing: Approaches to Reduce the Filter Effect of Dense Reinforcement Textiles0citations
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Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior2020 Advanced Modeling and Simulation in Engineering Sciences article Materials Science Microstructure and mechanical properties Open access
Mauricio Fernández, Shahed Rezaei, Jaber Rezaei Mianroodi, Felix Fritzen, Stefanie Reese
74citations -
Simulation of iron losses in induction machines using an iron loss model for rotating magnetization loci in no electrical steel2022 COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering article Materials Science Magnetic Properties and Applications
Martin Marco Nell, Benedikt Schauerte, Tim Brimmers, Kay Hameyer
13citations -
Adaptation and parametrization of an iron loss model for rotating magnetization loci in NO electrical steel2021 COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering article Materials Science Magnetic Properties and Applications
Benedikt Schauerte, Martin Marco Nell, Tim Brimmers, Nora Leuning, Kay Hameyer
0citations -
Material Design for Low-Loss Non-Oriented Electrical Steel for Energy Efficient Drives2021 Materials article Materials Science Magnetic Properties and Applications Open access cited by 1 patent
Nora Leuning, Markus Jaeger, Benedikt Schauerte, Anett Stöcker, Rudolf Kawalla, Xuefei Wei, +6 more
36citations -
Impact of residual stress evoked by pyramidal embossing on the magnetic material properties of non-oriented electrical steel2021 Archive of Applied Mechanics article Materials Science Magnetic Properties and Applications Open access
Ines Gilch, Tobias Neuwirth, Benedikt Schauerte, Nora Leuning, Simon R. Sebold, Kay Hameyer, +2 more
11citations
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