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h-Analysis and data-parallel physics-informed neural networks

We explore the data-parallel acceleration of physics-informed machine learning (PIML) schemes, with a focus on physics-informed neural networks (PINNs) for multiple graphics processing units (GPUs) architectures. In order to develop scale-robust and high-throughput PIML models for sophisticated appl...

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Detalles Bibliográficos
Autores principales:	Escapil-Inchauspé, Paul, Ruz, Gonzalo A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579276/ https://www.ncbi.nlm.nih.gov/pubmed/37845265 http://dx.doi.org/10.1038/s41598-023-44541-5

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