Paper 14110-30
Optimization Strategies for Photonic Inverse Design (Invited Paper)
16 April 2026 • 16:10 - 16:40 CEST | Madrid 1/Salon 3 (Niveau/Level 0)
Abstract
Photonic inverse design (PID) has rapidly transitioned from a predominantly academic pursuit to a mainstream methodology for engineering advanced photonic devices. In this presentation, we highlight recent advancements in PID leveraging both GPU-accelerated finite-difference time-domain (FDTD) simulations and the angular spectrum method (ASM). We present comparative analyses of various optimization strategies, examining the trade-offs between traditional second-order techniques such as L-BFGS and more accessible first-order methods like ADAM.
Presenter
Jens Niegemann
Ansys Canada Ltd. (Canada)
Jens Niegemann is a physicist specializing in computational electromagnetics and photonics. He earned his Ph.D. from the Karlsruhe Institute of Technology (KIT), where he developed higher-order methods for solving Maxwell’s equations in the time domain. Following postdoctoral research at KIT and ETH Zurich, he joined Lumerical in 2015 and now serves as a Senior Principal R&D Engineer in the Lumerical team at Synopsys Canada Inc. His research focuses on numerical methods for the simulation and optimization of photonic structures.