RESEARCH PAPER · Physics Letters A · 2026
Multi-symplectic physics-informed neural network for nonlinear infinite-dimensional Hamilton system
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Power series physics-informed neural networks for variable-order fractional diffusion: Forward modeling, joint inversion, and uncertainty quantification in heterogeneous porous media
AIMS Mathematics · 2026-01-01
Muhammad Azam
Read original paper ↗ ·Symmetry-Preserving Physics-Informed Neural Network Framework for Relativistic Charged-Particle Dynamics in 3+1 Dimensions
Symmetry · 2026-08-01
Nikolai S. Akintsov, Artem P. Nevecheria, Gaoteng Yuan, Vladislav S. Igumnov, S. N. Andreev, Qing‐Hua Qin
Read original paper ↗ ·Joint inference of nonlinear oscillation frequency and physical parameters of gas bubbles from sparse sub-period observations
Physics of Fluids · 2026-10-01
Abhishek Kumar Shukla, Ajeet Kumar
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