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

The European Physical Journal Plus 2026 Open access

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Authors: Akash Das, Satya Ranjan Nayak, B. K. Singh
DOI: 10.1140/epjp/s13360-026-07716-3
Cited by: 1
References: 22

Fields of Study & Subjects

High-Energy Particle Collisions Research Nuclear physics research studies Particle physics theoretical and experimental studies

Publication details

Journal / source
The European Physical Journal Plus
Publisher
Springer Science and Business Media LLC
Volume
141
Issue
5
Publication date
6 May 2026
Language
EN