Bias switchable narrowband/broadband NIR organic photodetector fabricated with a scalable technique

Lai, Lai-Hung; Lin, Wei-Hsiang; Hsieh, Chin-Chuan; Loi, Maria Antonietta

doi:10.1039/d3lf00089c

RSC Appl. Interfaces

2024

DOI: 10.1039/d3lf00089c

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Bias switchable narrowband/broadband NIR organic photodetector fabricated with a scalable technique

Lai-Hung Lai,

Wei-Hsiang Lin,

Chin-Chuan Hsieh

et al.

Abstract: This study unveils organic photodetector toggling narrowband/broadband with ultra-thick layers. Low bias enhances near-infrared for narrowband; strong electric field boosts overall efficiency, enabling broadband.

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A Hybrid Deep Learning‐Based Power Management Strategy for PV‐Assisted Desalination Plant

Almashnowi,

AlGhamdi,

Alamier

et al. 2024

Part & Part Syst Charact

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The increasing global need for freshwater has led to the widespread implementation of photovoltaic (PV) assisted desalination facilities as a viable and environmentally friendly remedy. The necessity for these plants resides in executing an effective power management strategy to provide dependable and economically feasible water generation. This paper utilizes a mixed architecture consisting of a convolutional neural network (CNN) and a deep Q‐learning Network (DQN) to implement a hybrid deep learning‐based power management strategy. The presented approach is modeled and executed in matrix laboratory (MATLAB) language, and the experimental findings validated that this algorithm achieved a computational time of 0.2 s and an energy loss of 0.01 megawatts, which is lower than the conventional models. Furthermore, the proposed strategy achieved a remarkable fit with an accuracy rate of 0.99, demonstrating its effectiveness in handling diverse load power and solar profiles in power management. Implementing this hybrid approach holds promise for a substantial reduction in operational expenditures and the advancement of sustainability in freshwater generation, making a valuable contribution toward a more environmentally friendly and optimized future for the desalination sector.

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A Hybrid Deep Learning‐Based Power Management Strategy for PV‐Assisted Desalination Plant

Almashnowi,

AlGhamdi,

Alamier

et al. 2024

Part & Part Syst Charact

View full text Add to dashboard Cite

show abstract

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Bias switchable narrowband/broadband NIR organic photodetector fabricated with a scalable technique

Abstract: This study unveils organic photodetector toggling narrowband/broadband with ultra-thick layers. Low bias enhances near-infrared for narrowband; strong electric field boosts overall efficiency, enabling broadband.

Cited by 1 publication

References 55 publications

A Hybrid Deep Learning‐Based Power Management Strategy for PV‐Assisted Desalination Plant

A Hybrid Deep Learning‐Based Power Management Strategy for PV‐Assisted Desalination Plant

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