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Machine-learning-based spectral methods for partial differential equations

Spectral methods are an important part of scientific computing’s arsenal for solving partial differential equations (PDEs). However, their applicability and effectiveness depend crucially on the choice of basis functions used to expand the solution of a PDE. The last decade has seen the emergence of...

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Detalles Bibliográficos
Autores principales: Meuris, Brek, Qadeer, Saad, Stinis, Panos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889394/
https://www.ncbi.nlm.nih.gov/pubmed/36720936
http://dx.doi.org/10.1038/s41598-022-26602-3