activity
20212024
most citedInvestigation of inverse design of multilayer thin-films with conditional invertible Neural Networks

13 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2024

Ultra-directional and high-efficiency LEDs via gradient index filled micro-Horn collimators

Alexander Luce, Rasoul Alaee, Aimi Abass

Micro-LEDs (LEDs) are poised to transform AR/VR, display, and optical communication technologies, but they are currently hindered by low light extraction efficiency and non-dire…

physics.comp-ph2024

dCG -- differentiable connected geometries for AI-compatible multi-domain optimization and inverse design

Alexander Luce, Daniel Grünbaum, Florian Marquardt

In the domain of geometry and topology optimization, discovering geometries that optimally satisfy specific problem criteria is a complex challenge in both engineering and scientif…

physics.comp-ph2023

Merging automatic differentiation and the adjoint method for photonic inverse design

Alexander Luce, Rasoul Alaee, Fabian Knorr +1

Optimizing shapes and topology of physical devices is crucial for both scientific and technological advancements, given its wide-ranging implications across numerous industries and…

physics.comp-ph2022★ 13 cited

Investigation of inverse design of multilayer thin-films with conditional invertible Neural Networks

Alexander Luce, Ali Mahdavi, Heribert Wankerl +1

The task of designing optical multilayer thin-films regarding a given target is currently solved using gradient-based optimization in conjunction with methods that can introduce ad…

physics.optics2021

Playing Ping Pong with Light: Directional Emission of White Light

Heribert Wankerl, Christopher Wiesmann, Laura Kreiner +5

Over the last decades, light-emitting diodes (LED) have replaced common light bulbs in almost every application, from flashlights in smartphones to automotive headlights. Illuminat…