3 citations · 3 across the 1 of their papers we have counts for
2 papers
physics.optics2025★ 3 cited
TorchGDM: A GPU-Accelerated Python Toolkit for Multi-Scale Electromagnetic Scattering with Automatic Differentiation
Sofia Ponomareva, Adelin Patoux, Clément Majorel +5
We present "torchGDM", a numerical framework for nano-optical simulations based on the Green's Dyadic Method (GDM). This toolkit combines a hybrid approach, allowing for both fully…
physics.optics2025
Gradient-Based Optimization of Core-Shell Particles with Discrete Materials for Directional Scattering
Dalin Soun, Antoine Azéma, Lucien Roach +2
Designing nanophotonic structures traditionally grapples with the complexities of discrete parameters, such as real materials, often resorting to costly global optimization methods…