APA (7th ed.) Citation

Das, A., Nayak, S. R., & Singh, B. K. (2025). 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.

Chicago Style (17th ed.) Citation

Das, Akash, Satya Ranjan Nayak, and B. K. Singh. 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. 2025.

MLA (9th ed.) Citation

Das, Akash, et al. 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. 2025.