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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Vydané v:	Laser & photonics reviews Ročník 16; číslo 10
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Weinheim Wiley Subscription Services, Inc 01.10.2022
Predmet:	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
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