Author

Alessandro Mininno

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Preprint Sep 2026

Discrete Gauging of 5d $\mathcal{N}=1$ $E_n$ SCFTs

We study the gauging of discrete symmetries of the 5d rank-one $E_n$ SCFTs that fix the Coulomb branch coordinate but act nontrivially on the Higgs branch chiral ring. Using generalized toric polygons and $(p,q)$-brane webs, we identify symmetries of the moduli space that extend to symmetries of the full SCFT. In many...

G. Arias-Tamargo, Mario De Marco, Craig Lawrie et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Solver Agent: an Agentic AI Framework for Theoretical Physics Computations Applied to F-theory Uplifts of O3-planes and S-folds

This work introduces Solver Agent, an AI framework based on large language models for calculations and proofs in mathematics and theoretical physics, and provides methods for toric computations and four-form flux analysis in four-dimensional $\mathcal{N}=1$ compactifications with non-abelian gauge sectors.

Eliott Morgensztern, Cesar Fierro Cota, Alessandro Mininno · 0 citations

#artificial intelligence Jul 2026

Learning to Trace Seiberg Dualities

This paper uses machine learning methods to address the question of how to efficiently establish dualities of supersymmetric quiver gauge theories for Seiberg dualities of supersymmetric quiver gauge theories and finds that for quivers with a modest number of quiver nodes, different network architectures tend to outper...

J. Heckman, S. Meynet, Alessandro Mininno et al. · arXiv.org · 1 citation