Finite Basis Physics-Informed Neural Networks as a Schwarz Domain Decomposition Method

Conference Paper (2024)
Author(s)

Victorita Dolean (University of Strathclyde)

Alexander Heinlein (TU Delft - Numerical Analysis)

Siddhartha Mishra (ETH Zürich)

Ben Moseley (ETH Zürich)

Research Group
Numerical Analysis
Copyright
© 2024 Victorita Dolean, A. Heinlein, Siddhartha Mishra, Ben Moseley
DOI related publication
https://doi.org/10.1007/978-3-031-50769-4_19
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Victorita Dolean, A. Heinlein, Siddhartha Mishra, Ben Moseley
Research Group
Numerical Analysis
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
165-172
ISBN (print)
9783031507687
Reuse Rights

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Abstract

The success and advancement of machine learning (ML) in fields such as image recognition and natural language processing has lead to the development of novel methods for the solution of problems in physics and engineering.

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