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

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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Bibliographic Details
Main Authors: A. Cherni, N. Yahyaoui, N. Zeiri, M.L. Bouazizi, M.Al. Zahrani
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
Supervised machine learning
Artificial neural network (ANN)
Convolutional neural network (CNN)
Decision tree (DT)
Nonlinear optical rectification (NOR)
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025026581
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