50 citations · 304 across the 27 of their papers we have counts for
5 papers · 1 filter
TheoPhysEval: Assessing AI agents at autonomous theoretical physics problem solving
A. Ramesh Chandra, Aaghaz Mahajan, Ainesh Sanyal +32
We present a suite of 50 unpublished research-level theoretical physics problems with verifiable answers. Without AI assistance, a typical problem in our collection could be solved…
Solver Agent: an Agentic AI Framework for Theoretical Physics Computations Applied to F-theory Uplifts of O3-planes and S-folds
Eliott Morgensztern, Cesar Fierro Cota, Alessandro Mininno
We introduce Solver Agent, an AI framework based on large language models for calculations and proofs in mathematics and theoretical physics. The solution process is tracked throug…
Discrete Gauging of 5d SCFTs
Guillermo Arias-Tamargo, Mario De Marco, Craig Lawrie +2
We study the gauging of discrete symmetries of the 5d rank-one SCFTs that fix the Coulomb branch coordinate but act nontrivially on the Higgs branch chiral ring. Using genera…
Learning to Trace Seiberg Dualities
Jonathan J. Heckman, Shani Meynet, Alessandro Mininno +1
Dualities play an important role in establishing both microscopic and emergent phenomena in a wide range of physical systems. In practice, though, it can often be computationally c…
Exploring Line Bundle Standard Models with Transformers
Jacky H. T. Yip, Alessandro Mininno, Gary Shiu
We propose a Transformer-based Reinforcement Learning architecture, "LB-Explorer", to search for heterotic line bundle standard models arising from compactifications on smooth Cala…