physics.acc-ph · 2026-06-23 · No. 32

Accelerator Physics, 2026-06-23.

1 new papers in physics.acc-ph. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    SuperCond-GNN: Scalable Graph Neural Network Surrogate for Superconducting Circuit Simulations

    Nandana Menon, Giorgio Vallone

    physics.acc-ph · cs.LG

    This paper presents SuperCond-GNN, a graph neural network-based surrogate model for predicting the voltage distribution in high-temperature superconducting (HTS) magnets. HTS magnets are modeled as lumped-element equivalent circuits and mapped onto graph representations, enabling message passing GNNs to learn the electrical response as a function of circuit topology, material properties, and operating current. As a proof of concept, tape...

    arxiv.org/abs/2606.23548 · PDF

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