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20222026
most citedA Reinforcement Learning Approach for Process Parameter Optimization in Additive Manufacturing

2 citations · 2 across the 3 of their papers we have counts for

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physics.acc-ph2026

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

Nandana Menon, Giorgio Vallone

This paper presents SuperCond-GNN, a graph neural network-based surrogate model for predicting the voltage distribution in high-temperature superconducting (HTS) magnets. HTS magne…