2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
cs.LG2024
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition
Nandana Menon, Amrita Basak
Multi-fidelity (MF) modeling is a powerful statistical approach that can intelligently blend data from varied fidelity sources. This approach finds a compelling application in pred…
cs.LG2022★ 2 cited
A Reinforcement Learning Approach for Process Parameter Optimization in Additive Manufacturing
Susheel Dharmadhikari, Nandana Menon, Amrita Basak
Process optimization for metal additive manufacturing (AM) is crucial to ensure repeatability, control microstructure, and minimize defects. Despite efforts to address this via the…