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Theoretical physics

AI contributions to analytical derivations and substantive numerical calculations in physical models, including particle theory, gravity, statistical mechanics, quantum many-body systems, and string theory.

Progress records 11

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11 records · Includes focused interests · How we rate progress

Machine-learned geometry validates string-model coupling calculations

Butbaia and collaborators report normalized Yukawa-coupling calculations in specified standard-embedding heterotic compactifications, comparing geometric and period-integral methods with calculations using a machine-learned approximate Ricci-flat metric and harmonic representatives.

Read original source Original physical Yukawa-coupling study v2arxiv.org

Original report: 2024-01-26

Transformer wave functions support a gapless spin liquid in a frustrated magnet model

Viteritti, Rende, Parola, Goldt and Becca report numerical evidence for an intermediate gapless spin-liquid phase in the two-dimensional Shastry–Sutherland model, using transformer variational wave functions and extrapolations of order parameters and triplet excitation energies.

Read original source Original transformer wave-function study, revised April 2025arxiv.org

Original report: 2023-11-28

Gemini-assisted analytical solutions for a cosmic-string radiation integral

Brenner, Cohen-Addad and Woodruff report six analytical methods for the integral controlling radiation from a specified Garfinkle–Vachaspati cosmic-string loop family, including exact spectral representations and a large-harmonic asymptotic formula with angular dependence.

Read original source Original AI-assisted cosmic-string calculationarxiv.org

Original report: 2026-03-05

Neural networks produce compact scalar and graviton scattering expressions

Cheung, Dersy and Schwartz report a transformer-based simplifier that reduces long spinor-helicity expressions and produces new compact five-point scalar and graviton amplitude expressions, alongside recovering the known five-gluon Parke–Taylor expression.

Read original source Original amplitude-simplification paper v2arxiv.org

Original report: 2024-08-08

AI-assisted completion of the elliptic sector of a collider correlator

Schwartz and Zhang report an analytical expression for the remaining elliptic sector of the next-to-next-to-leading-order energy-energy correlator in N = 4 super Yang–Mills theory, relating its curve to the sunrise integral and expressing the answer through iterated Eisenstein integrals.

Read original source Original paper: The hidden sunrise in the energy-energy correlatorarxiv.org

Original report: 2026-10-07

AI-assisted recursion and formulas for single-minus graviton amplitudes

Guevara, Lupsasca, Skinner, Strominger and Weil report nonzero tree-level single-minus graviton amplitudes at half-collinear kinematics, solving a recursion as a sum over trees and obtaining a product of soft factors in a restricted decay region.

Read original source Original paper v2: single-minus graviton tree amplitudesarxiv.org

Original report: 2026-03-04

Parisi–Zamponi–Claude: an analytic proof of the jamming exponent identity

Parisi and Zamponi give an analytic proof of a+b=1 from the scaling full replica-symmetry-breaking equations for infinite-dimensional hard-sphere jamming. Together with the earlier relation b=(1+c)/2, it yields the scaling identities linking force, gap and overlap exponents.

Read original source Parisi–Zamponi: precise identity, assumptions and AI disclosurearxiv.org

Original report: 2026-06-02

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AI contributions to analytical derivations and substantive numerical calculations in physical models, including particle theory, gravity, statistical mechanics, quantum many-body systems, and string theory.

Related focused topics and problems retain their own statements and baselines. A contribution may belong to more than one field; it is counted once within each topic.

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Background review: 2026-10-13. Selected sources:

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