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I. Lamrini

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Conference Open access 2026

Random Forest and K-Nearest Neighbors Prediction of the Optical Properties of 2D Ultra-thin Quantum Dots under Hydrostatic Pressure

This work analyzes the effect of hydrostatic pressure on the predicting excitonic optical response of a 2D Ultra-thin GaAs-system. The data are generated from a numerical model incorporating quantum confinement and excitonic effects, capturing the system's response to incident photon energy and applied pressure. To red...

I. Lamrini, M. Hbibi, S. Chouef et al. · 0 citations
Open access Aug 2026

Machine Learning Prediction of Optical Absorption in GaAs 2D Nanostructure under Hydrostatic Pressure

This work focuses on the modeling and prediction of the optical absorption coefficient in GaAs 2D nanostructure subjected to hydrostatic pressure. The database is generated from numerical calculations describing the optical absorption of exciton confined in GaAs 2D nanostructure. The obtained data are exploited to deve...

I. Lamrini, M. Hbibi, S. Chouef et al. · 0 citations

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