Photoresponsivity Enhancement of SnS-Based Devices Using Machine Learning and SCAPS Simulations

A Maoucha, F Djeffal, T Berghout, H Ferhati - Engineering Proceedings, 2023 - mdpi.com
In this work, we propose a novel alternative design technique based on combined SCAPS
numerical simulations and Machine Learning (ML) computation to improve the photocurrent
performances for efficient eco-friendly optoelectronic applications. In this context, a new SnS
absorber structure based on introducing gold (Au) nanoparticles (NPs) is proposed. It is
revealed that the proposed design framework can predict the best spatial distribution of Au
NPs, allowing for the enhanced optical behavior of SnS absorber film. This can pave the way …

Photoresponsivity enhancement of SnS-based photosensors using Machine Learning and SCAPS simulations.

A Maoucha, F Djeffal, T Berghout, H Ferhati - 2023 - sciforum.net
Tin Sulfide (SnS)-based photodetector and photovoltaic devices emerged as potential
candidates for low-cost and efficient eco-friendly photosensing and clean energy
applications. The amazing optoelectronic properties of SnS-based devices, such as high
optical absorption and tunable direct band-gap, are currently piquing the curiosity of
researchers. However, the low recorded photoresponsivity is the major limitation that needs
to be overcome without introducing toxic materials and increasing the elaboration cost of the …
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