Novel approach to solving Schwarzschild black hole perturbation equations via physics informed neural networks
Crossref DOI link: https://doi.org/10.1007/s10714-024-03322-9
Published Online: 2024-11-10
Published Print: 2024-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Patel, Nirmal
Aykutalp, Aycin
Laguna, Pablo
Funding for this research was provided by:
National Science Foundation (PHY-2114582 and PHY-2207780.)
Text and Data Mining valid from 2024-11-01
Version of Record valid from 2024-11-01
Article History
Received: 14 August 2024
Accepted: 25 October 2024
First Online: 10 November 2024