Deep-learning enabled photonic nanostructure discovery in arbitrarily large shape sets via linked latent space representation learning

The vast array of shapes achievable through modern nanofabrication technologies presents a challenge in selecting the most optimal design for achieving a desired optical response. While data-driven techniques, such as deep learning, hold promise for inverse design, their applicability is often limit...

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Veröffentlicht in:	Digital discovery 2024-08, Vol.3 (8), p.1612-1623
Hauptverfasser:	Singh, Sudhanshu, Kumar, Rahul, Panda, Soumyashree S., Hegde, Ravi S.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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