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@article{VanBeek2025,
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author = {van Beek, Jan Willem and Dolean, Victorita and Moseley, Ben},
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archivePrefix = {arXiv},
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arxivId = {2506.17626},
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eprint = {2506.17626},
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journal = {arXiv},
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doi = {10.1016/J.CMA.2025.118583},
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issn = {0045-7825},
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journal = {Computer Methods in Applied Mechanics and Engineering},
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pages = {118583},
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title = {{Local feature filtering for scalable and well-conditioned Random Feature Methods}},
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url = {https://arxiv.org/pdf/2506.17626},
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url = {https://www.sciencedirect.com/science/article/pii/S0045782525008552},
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volume = {449},
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year = {2025}
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}
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```
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## Reproducing our papers
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To reproduce the results of our paper: [*Multilevel domain decomposition-based architectures for physics-informed neural networks*](https://doi.org/10.1016/j.cma.2024.117116), please see this [branch](https://github.com/benmoseley/FBPINNs/tree/multilevel-paper/multilevel-paper).
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To reproduce the results of our paper: [*Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods*](https://doi.org/10.1016/j.cma.2025.118583),
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please see this [branch](https://github.com/benmoseley/FBPINNs/tree/elm-rrqr-paper/elm-rrqr-paper).
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## Further questions?
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