Data-driven discovery of phase field dynamics: a physics-informed neural network-based approach to the Allen–Cahn equation DOI

Nek Muhammad Katbar,

Shengjun Liu, Hongjuan Liu

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(4)

Published: April 23, 2025

Language: Английский

PF-PINNs: Physics-informed neural networks for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations DOI Creative Commons
Nanxi Chen, S. Lucarini, Rujin Ma

et al.

Journal of Computational Physics, Journal Year: 2025, Volume and Issue: unknown, P. 113843 - 113843

Published: Feb. 1, 2025

Language: Английский

Citations

1
Quantum surrogate modelling to solve phase field simulation problems in metal solidification DOI Creative Commons

Garate-Perez Eider,

Meritxell Gómez-Omella,

Lambarri Jon

et al.

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(5)

Published: March 24, 2025

Language: Английский

Citations

0
Data-driven discovery of phase field dynamics: a physics-informed neural network-based approach to the Allen–Cahn equation DOI

Nek Muhammad Katbar,

Shengjun Liu, Hongjuan Liu

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(4)

Published: April 23, 2025

Language: Английский

Citations

0