Generative Pre-Trained Physics-Informed Neural Networks Implementation
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Updated
Jul 4, 2024 - Python
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Nonlinear MetaMaterials MPI solver
The paper commences by examining the geometric properties of de-Sitter space-time, with a specific focus on the isometries generated by Killing vectors.
Steinmetz, A. Modern topics in relativistic spin dynamics and magnetism. PhD dissertation. University of Arizona, 2023.
NNQS for the Klein--Gordon--Fock equation
Steinmetz, A., Formanek, M. & Rafelski, J. Magnetic dipole moment in relativistic quantum mechanics. Eur. Phys. J. A 55, 40 (2019).
The method of stationary phase and the centred-difference approximation are used to generate the finite-difference scheme for solving Klein-Gordon equation in MATLAB.
A novel solution to the Klein-Gordon equation in the presence of a strong rotating electric field
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