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
The paper commences by examining the geometric properties of de-Sitter space-time, with a specific focus on the isometries generated by Killing vectors.
Nonlinear MetaMaterials MPI solver
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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