Neural Networks Solve Coupled Dyson-Schwinger Equations in Landau-Gauge Yang-Mills Theory

arXiv 2607.21548·low signal

Rodrigo Carmo Terin solves the coupled ghost and gluon Dyson-Schwinger equations of four-dimensional Landau-gauge Yang-Mills theory using a neural representation rather than conventional numerical methods. This is part of the broader neural-solver trend applying learned function approximation to integral equation systems that resist standard discretization. Included as a signal of where scientific ML is landing, not as directly actionable tooling.