Dr. Muhammad Faisal Khan Profile

Dr. Muhammad Faisal Khan

at Hamdard Univ

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Author

Publications (2)

Proceedings Article | 20 June 2024 Poster + Paper

Smart indoor organic photovoltaic cells for controlling health monitoring sensors: harnessing sustainable energy solutions for efficient sensing systems

Fatima Mohsin Zakai, Sumbel Ijaz, Nasir Mahmood, Muhammad Qasim Mehmood, Muhammad Faisal Khan

Proceedings Volume 12999, 1299936 (2024) https://doi.org/10.1117/12.3022086

KEYWORDS: Organic photovoltaics, Polymers, Sustainability, Solar energy, Solar cells, Electrodes, Photovoltaics, Organic materials, Photovoltaic detectors, Light absorption

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Indoor organic photovoltaic (OPV) cells present a promising technology to fuel smart applications due to their thin, lightweight, and flexible nature, rendering them ideal for wearable and implantable devices. Moreover, they can be manufactured through cost-effective and accessible methods, making them an appealing choice for large-scale production. OPV have the potential to revolutionize the realm of medical applications by providing a dependable and sustainable power source for wearable devices. Using OPVs in indoor settings offers the potential to capture clean energy from easily accessible for indoor light sources, to power self-sufficient devices, improve the visual appeal of designs, support sustainability initiatives, and lower the energy expenses. These indoor organic cells are capable of achieving remarkably high power conversion efficiencies (PCEs), which are fairly comparable with the typical efficiencies of commercial single junction indoor silicon photovoltaic cells, which usually hover around 26%. Notably, indoor OPV cells are seamlessly integrated into wearable devices, to ensure patient comfort and safety. The use of organic materials in the active layer have made the realization of highly efficient, flexible, lightweight, biocompatible, and durable devices possible. In this work, we have used PBDB-TCl:AITC:BTP-eC₉ as an active layer to produce a high efficiency for indoor OPV as well as to control and optimize the operating voltage of 1865 series sensors in order to power the smart IoT health monitoring sensors. The OPV cells embedded with smart sensor devices help in monitoring the human (patient) vitals such as blood-pressure, body temperature and other parameters. It is found that the layer of polymers PBDB-TCl : AITC : BTP-eC9 in the device provides an open-circuit voltage of 0.87V, fill factor of 79.4% and a power conversion efficiency of 19.1% under low light intensity. Inspiringly, an output efficiency of more than 26% under 1000lx has been realized.

Proceedings Article | 18 June 2024 Poster + Paper

AI-driven perovskite solar cells optimization

Muhammad Faizan, Sumbel Ijaz, Muhammad Qasim Mehmood, Muhammad Faisal Khan, Ghufran Ahmed, Muhammad Zubair

Proceedings Volume 13011, 130110G (2024) https://doi.org/10.1117/12.3022055

KEYWORDS: Perovskite, Solar cells, Machine learning, Solar energy, Random forests, Artificial intelligence, Electron transport, Education and training, Data modeling, Copper

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