Strategical Deep Learning for Photonic Bound States in the Continuum

Resonance is instrumental in modern optics and photonics. While one can use numerical simulations to sweep geometric and material parameters of optical structures, these simulations usually require considerably long calculation time and substantial computational resources. Such requirements signific...

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Veröffentlicht in:	Laser & photonics reviews Jg. 16; H. 10
Hauptverfasser:	Ma, Xuezhi, Ma, Yuan, Cunha, Preston, Liu, Qiushi, Kudtarkar, Kaushik, Xu, Da, Wang, Jiafei, Chen, Yixin, Wong, Zi Jing, Liu, Ming, Hipwell, M. Cynthia, Lan, Shoufeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Weinheim Wiley Subscription Services, Inc 01.10.2022
Schlagworte:	Algorithms Artificial intelligence bound states in the continuum (BICs) Computer simulation Datasets Deep learning Fano resonance high‐quality‐factor resonance design Inverse design Machine learning Photonics resonance‐informed‐deep‐learning (RIDL) strategy semi‐supervised deep learning Spectra Training
ISSN:	1863-8880, 1863-8899
Online-Zugang:	Volltext
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