Machine Learning in Modeling and Simulation : Methods and Applications (English)
- New search for: Bathe, Klaus-Jürgen
- Further information on Bathe, Klaus-Jürgen:
- http://d-nb.info/gnd/104652559X
- New search for: Rabczuk, Timon
- Further information on Rabczuk, Timon:
- http://d-nb.info/gnd/1120622646
2023
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ISBN:
- Book / Print
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Title:Machine Learning in Modeling and Simulation : Methods and Applications
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Contributors:Bathe, Klaus-Jürgen ( editor ) / Rabczuk, Timon ( editor )
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Published in:
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Publisher:
- New search for: Springer
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Place of publication:Cham
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Publication date:2023
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Size:ix, 451 Seiten
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Remarks:Illustrationen, Diagramme
Literaturangaben -
ISBN:
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Type of media:Book
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Type of material:Print
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Language:English
- New search for: 50.03
- Further information on Basic classification
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Keywords:
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Classification:
BKL: 50.03 Methoden und Techniken der Ingenieurwissenschaften -
Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Machine Learning in Computer Aided EngineeringMontáns, Francisco J. / Cueto, Elías / Bathe, Klaus-Jürgen et al. | 2023
- 2
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Artificial Neural NetworksWorden, K. / Tsialiamanis, G. / Cross, E. J. / Rogers, T. J. et al. | 2023
- 3
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Gaussian ProcessesRogers, T. J. / Mclean, J. / Cross, E. J. / Worden, K. et al. | 2023
- 4
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Machine Learning Methods for Constructing Dynamic Models From DataNathan Kutz, J. et al. | 2023
- 5
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Physics-Informed Neural Networks: Theory and ApplicationsAnitescu, Cosmin / İsmail Ateş, Burak / Rabczuk, Timon et al. | 2023
- 6
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Physics-Informed Deep Neural Operator NetworksGoswami, Somdatta / Bora, Aniruddha / Yu, Yue / Karniadakis, George Em et al. | 2023
- 7
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Digital Twin for Dynamical SystemsTripura, Tapas / Garg, Shailesh / Chakraborty, Souvik et al. | 2023
- 8
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Reduced Order ModelingDar, Zulkeefal / Baiges, Joan / Codina, Ramon et al. | 2023
- 9
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Regression Models for Machine LearningWei, Pengfei / Beer, Michael et al. | 2023
- 10
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Overview on Machine Learning Assisted Topology Optimization MethodologiesChamatidis, Ilias / Stoumpos, Manos / Kazakis, George / Kallioras, Nikos Ath. / Triantafyllou, Savvas / Plevris, Vagelis / Lagaros, Nikos D. et al. | 2023
- 11
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Mixed-Variable Concurrent Material, Geometry, and Process Design in Integrated Computational Materials EngineeringHuang, Tianyu / Bisram, Marisa / Li, Yang / Xu, Hongyi / Zeng, Danielle / Su, Xuming / Cao, Jian / Chen, Wei et al. | 2023
- 12
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Machine Learning Interatomic Potentials: Keys to First-Principles Multiscale ModelingMortazavi, Bohayra et al. | 2023