Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations.

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Title: Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations.
Authors: Moseley, Ben1, benjamin.moseley@ai.ethz.ch, Markham, Andrew2, Nissen-Meyer, Tarje3
Source: Advances in Computational Mathematics; Aug2023, Vol. 49 Issue 4, p1-39, 39p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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        Value: 10.1007/s10444-023-10065-9
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      – Code: eng
        Text: English
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      – TitleFull: Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations.
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              Text: Aug2023
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              Y: 2023
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