Combinatorial Optimization via Memory Metropolis: Template Networks for Proposal Distributions in Simulated Annealing applied to Nanophotonic Inverse Design

Becker, Marlon; Butz, Marco; Lemli, David; Schuck, Carsten; Risse, Benjamin

Poster | Peer reviewed

Details about the publication

Name of the repositoryhttps://neurips.cc/virtual/2023/workshop/66541
StatusPublished
Release year2023
Language in which the publication is writtenEnglish
ConferenceNeural Information Processing Systems (NeurIPS) Workshop on AI for Accelerated Materials Design (AI4Mat-2023), New Orleans, United States
KeywordsReinforcement learning, deep learning, machine learning, inverse design, nano photonics, optimisation

Authors from the University of Münster

Becker, Marlon
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)
Butz, Marco
Junior professorship for integration and manipulation of quantum emitters (Prof. Schuck)
Lemli, David
Institute of Physical Chemistry
Risse, Benjamin
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)
Schuck, Carsten
Junior professorship for integration and manipulation of quantum emitters (Prof. Schuck)