Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics-Reference-Cited by-同舟云学术

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Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics

Published:2024-05 Issue: Volume:424 Page:116906
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Ferrer-Sánchez Antonio^ORCID,Martín-Guerrero José D.^ORCID,de Austri-Bazan Roberto Ruiz,Torres-Forné Alejandro^ORCID,Font José A.^ORCID

Funder

Espana Ministerio de Ciencia e Innovacion

Agencia Estatal de Investigacion

Conselleria d'Educació

Publisher

Elsevier BV

Reference44 articles.

1. Hierarchical text-conditional image generation with CLIP latents;Ramesh,2022

2. High-resolution image synthesis with latent diffusion models;Rombach,2021

3. Language models are few-shot learners;Brown,2020

4. Progress in machine translation;Wang;Engineering,2022

5. 25 Years of time series forecasting;De Gooijer;Int. J. Forecast.,2006

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1. Quasinormal modes in modified gravity using physics-informed neural networks;Physical Review D;2024-06-27

2. Physics-informed neural networks for an optimal counterdiabatic quantum computation;Machine Learning: Science and Technology;2024-05-09

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