Accelerating Finite-Difference Frequency-Domain Simulations for Inverse Design Problems in Nanophotonics using Deep Learning Schulte L; Butz M; Becker M; Risse B; Schuck C (2024) In: Journal of the Optical Society of America B, 41(4). Forschungsartikel (Zeitschrift)
Learning Proposal Distributions in Simulated Annealing via Template Networks: A Case Study in Nanophotonic Inverse Design. Becker, Marlon; Butz, Marco; Lemli, David; Schuck, Carsten; Risse, Benjamin (2024) In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.), Pattern Recognition. Kolkata, India: Springer. Forschungsartikel (Buchbeitrag)
Inverse Design of Nanophotonic Devices using Dynamic Binarization Butz, Marco; Abazi, Adrian S.; Ross, Rene; Risse, Benjamin; Schuck, Carsten (2023) In: Optics Express, 31(10). Forschungsartikel (Zeitschrift)
A Universal Approach to Nanophotonic Inverse Design through Reinforcement Learning Butz M; Leifhelm A; Becker M; Risse B; Schuck C (2023) In: Optica Publishing Group (Hrsg.), CLEO 2023, paper STh4G.3. San Jose: Optica. Forschungsartikel in Sammelband (Konferenz)
Deep Learning Accelerated FDFD Simulations in Context of Inverse-Design Algorithms Schulte, Lukas;Butz, Marco; Schuck, Carsten (2023) In: DPG (Hrsg.), Quantenoptik und Photonik. Poster