A neural operator-based surrogate solver for free-form electromagnetic inverse design
| Identifier | |
|---|---|
| DOI | https://doi.org/10.35097/911 |
| Related Identifier | IsSupplementTo https://doi.org/10.48550/arXiv.2302.01934 |
| Related Identifier | IsRequiredBy https://github.com/tfp-photonics/neurop_invdes |
| Metadata Access | https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/911 |
| Provenance | |
|---|---|
| Creator | Augenstein, Yannick  |
| Publisher | Augenstein, Yannick |
| Contributor | RADAR |
| Publication Year | 2023 |
| Funding Reference | Deutsche Forschungsgemeinschaft (DFG) 0000 0001 2096 9829 ISNI EXC 2082 - 390761711 https://gepris.dfg.de/gepris/projekt/390761711 3D Matter Made to Order (3DMM2O) |
| Rights | Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode |
| OpenAccess | true |
| Representation | |
|---|---|
| Resource Type | Dataset |
| Format | application/x-tar |
| Discipline | Design; Fine Arts, Music, Theatre and Media Studies; Humanities; Natural Sciences; Physics |