3 papers
physics.optics2026
Direct Optimization of a 3D Finite-Source Reflector via Neural-Network Parameterization
Roel Hacking, Lisa Kusch, Martijn Anthonissen +1
We present a direct optimization method for three-dimensional freeform reflectors that transform the light of a finite-étendue source into a prescribed far-field angular intensity…
cs.LG2026
Neural-network methods for two-dimensional finite-source reflector design
Roel Hacking, Lisa Kusch, Koondanibha Mitra +2
We address the inverse problem of designing two-dimensional reflectors that transform light from a finite, extended source into a prescribed far-field distribution. The reflector h…
cs.LG2024
A neural network approach for solving the Monge-Ampère equation with transport boundary condition
Roel Hacking, Lisa Kusch, Koondanibha Mitra +2
This paper introduces a novel neural network-based approach to solving the Monge-Ampère equation with the transport boundary condition, specifically targeted towards optical design…