Physics-informed neural network (PINN) modeling of charged particle multiplicity using the two-component framework in heavy-ion collisions: a comparison with data-driven neural networks
Crossref DOI link: https://doi.org/10.1140/epjp/s13360-026-07716-3
Published Online: 2026-05-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Das, Akash
Nayak, Satya Ranjan
Singh, B. K. https://orcid.org/0000-0002-6292-7253
Text and Data Mining valid from 2026-05-06
Version of Record valid from 2026-05-06
Article History
Received: 20 March 2026
Accepted: 17 April 2026
First Online: 6 May 2026