Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
Physics-informed neural networks (PINNs) are employed to solve the Dyson-Schwinger equations of quantum electrodynamics (QED) in Euclidean space, with a focus on the non-perturbative generation of the fermion's dynamical mass function in the Landau gauge. By inserting the integral equation dire...
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| Format: | Article |
| Language: | English |
| Published: |
SciPost
2025-08-01
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| Series: | SciPost Physics Core |
| Online Access: | https://scipost.org/SciPostPhysCore.8.3.054 |
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