2 papers
physics.ins-det2026
Machine Learning for Complex Instrument Design and Optimization
Barry C. Barish, Jonathan W. Richardson, Evangelos E. Papalexakis +1
In modern experimental physics, particle accelerators and gravitational-wave observatories enable a wide-range of research at the frontiers of science. These instruments are highly…
astro-ph.IM2025
Graph Neural Networks for Interferometer Simulations
Sidharth Kannan, Pooyan Goodarzi, Evangelos E. Papalexakis +1
In recent years, graph neural networks (GNNs) have shown tremendous promise in solving problems in high energy physics, materials science, and fluid dynamics. In this work, we intr…