Category: Mathematical physics
Neural framework models Einstein field equations in dynamic gravity
What the study found GRAVI-NEURAL is a physics-informed artificial intelligence framework that uses a Covariant Neural Operator to learn, approximate, and evolve solutions to the Einstein Field Equations under dynamic and strong-field gravitational conditions. It represents spacetime as a Minkowski background plus a learned neural perturbation field. What the authors say this matters The authors…
Compact formula for conserved three-point tensor structures in 4D CFT
What the study found The study found a compact analytic formula for a complete basis of conformally invariant tensor structures for three-point functions of conserved operators in four-dimensional conformal field theory (CFT). It also found that the same framework can be used for cases with one non-conserved operator. Why the authors say this matters The…
Dimer graphs match relativistic Toda chains and Seiberg-Witten curves
What the study found The authors construct dimer graphs for relativistic Toda chains associated with classical untwisted Lie algebras of A, B, C0, Cπ, and D types, as well as twisted A and D types. They also show that the Seiberg-Witten curve of 5d N=1 pure supersymmetric gauge theory with gauge group G is a…
Ze counting framework yields a Minkowski-like metric
A derivation of Minkowski spacetime geometry from combinatorial dynamics of a binary event counter, with speed of light emerging as structural impedance.
