Supervised machine learning prediction and investigation of nonlinear optical rectification in Ge/Si0.15Ge0.85 asymmetric coupled triangle quantum wells

Nonlinear optical rectification (NOR) is a fundamental process in the design and engineering of photonic devices. Predicting the NOR coefficient in the Ge/Si0.15Ge 0.85 asymmetric double triangle quantum wells (ADTQWs) structures contributes significantly to improving the performance and efficiency...

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Opis bibliograficzny
Główni autorzy:	A. Cherni, N. Yahyaoui, N. Zeiri, M.L. Bouazizi, M.Al. Zahrani
Format:	Artigo
Język:	Inglês
Wydane:	Elsevier 2025-09-01
Seria:	Results in Engineering
Hasła przedmiotowe:	Supervised machine learning Artificial neural network (ANN) Convolutional neural network (CNN) Decision tree (DT) Nonlinear optical rectification (NOR)
Dostęp online:	http://www.sciencedirect.com/science/article/pii/S2590123025026581
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Supervised machine learning prediction and investigation of nonlinear optical rectification in Ge/Si0.15Ge0.85 asymmetric coupled triangle quantum wells

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