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Butz, Marco

Show 1 to 10 of 11 results

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), 1039-1046. doi:10.1364/JOSAB.506159 Research article (journal) \| Peer reviewed \| Published
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 (eds.), Pattern Recognition, 188-202. Kolkata, India: . Research article (book contribution) \| Peer reviewed \| Published
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), 15747-15756. doi:10.1364/OE.484484 Research article (journal) \| Peer reviewed \| Published
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 (eds.), CLEO 2023, paper STh4G.3, STh4G.3-STh4G.3. San Jose: Research article in edited proceedings (conference) \| Published
Deep Learning Accelerated FDFD Simulations in Context of Inverse-Design Algorithms Schulte, Lukas;Butz, Marco; Schuck, Carsten (2023) In: DPG (eds.), Quantenoptik und Photonik. Poster \| Peer reviewed \| Published
Fabrication of Computer-Generated Nanophotonic Devices In: . \| Peer reviewed
A Novel Approach to Nanophotonic Black-Box Optimization Through Reinforcement Learning In: (eds.), , -. \| Peer reviewed
Combinatorial Optimization via Memory Metropolis: Template Networks for Proposal Distributions in Simulated Annealing applied to Nanophotonic Inverse Design In: . . \| Peer reviewed
Inverse Design of Nanophotonic Devices based on Reinforcement Learning In: (eds.), , -. \| Peer reviewed
Nanophotonic inverse design: A dynamic binarization function for the "objective-first" algorithm In: (eds.), . \| Peer reviewed

Lemli, David;Butz, Marco;Schuck, Carsten

(2023)

DPG (eds.), Quantenoptik und Photonik

Poster

| Published

Butz, Marco; Leifhelm, Alexander; Becker, Marlon; Risse, Benjamin; Schuck, Carsten

(2023)

DPG

Q 30 Nano-optics

Hannover:

Research article in edited proceedings (conference)

| Published

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

(2023)

Neural Information Processing Systems (NeurIPS) Workshop on AI for Accelerated Materials Design (AI4Mat-2023)

, New Orleans

, United States

https://neurips.cc/virtual/2023/workshop/66541

Poster

| Published

Butz, Marco; Leifhelm, Alexander; Becker, Marlon; Risse, Benjamin; Schuck, Carsten

(2022)

DPG

Q 38 Photonics II

Erlangen:

Research article in edited proceedings (conference)

| Published

Butz M, Schuck C

(2020)

Research article in edited proceedings (conference)

| Published

Springer

doi:10.1007/978-3-031-78186-5_13

Optica. doi:10.1364/CLEO_SI.2023.STh4G.3

Deutsche Physikalische Gesellschaft.

(kein Verlag angegeben).

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), 1039-1046. doi:10.1364/JOSAB.506159 Research article (journal) \| Peer reviewed \| Published
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 (eds.), Pattern Recognition, 188-202. Kolkata, India: . Research article (book contribution) \| Peer reviewed \| Published
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), 15747-15756. doi:10.1364/OE.484484 Research article (journal) \| Peer reviewed \| Published
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 (eds.), CLEO 2023, paper STh4G.3, STh4G.3-STh4G.3. San Jose: Research article in edited proceedings (conference) \| Published
Deep Learning Accelerated FDFD Simulations in Context of Inverse-Design Algorithms Schulte, Lukas;Butz, Marco; Schuck, Carsten (2023) In: DPG (eds.), Quantenoptik und Photonik. Poster \| Peer reviewed \| Published
Fabrication of Computer-Generated Nanophotonic Devices In: . \| Peer reviewed
A Novel Approach to Nanophotonic Black-Box Optimization Through Reinforcement Learning In: (eds.), , -. \| Peer reviewed
Combinatorial Optimization via Memory Metropolis: Template Networks for Proposal Distributions in Simulated Annealing applied to Nanophotonic Inverse Design In: . . \| Peer reviewed
Inverse Design of Nanophotonic Devices based on Reinforcement Learning In: (eds.), , -. \| Peer reviewed
Nanophotonic inverse design: A dynamic binarization function for the "objective-first" algorithm In: (eds.), . \| Peer reviewed