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Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

Date

2019-04
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dc.contributor.authorLaporte, Floris
dc.contributor.authorDambre, Joni
dc.contributor.authorBienstman, Peter
dc.contributor.imecauthorLaporte, Floris
dc.contributor.imecauthorDambre, Joni
dc.contributor.imecauthorBienstman, Peter
dc.contributor.orcidimecBienstman, Peter::0000-0001-6259-464X
dc.date.accessioned2021-10-27T12:04:33Z
dc.date.available2021-10-27T12:04:33Z
dc.date.embargo9999-12-31
dc.date.issued2019-04
dc.identifier.issn2045-2322
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33369
dc.identifier.urlhttps://doi.org/10.1038/s41598-019-42408-2
dc.source.beginpage5918
dc.source.journalScientific Reports
dc.source.volume9
dc.title

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

dc.typeJournal article
dspace.entity.typePublication
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