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Artificial Intelligence Technique of Synthesis and Characterizations for Measurement of Optical Particles in Medical Devices.

Walid Theib MohammadSherin Hassan MabroukRania Mohammed Abd Elgawad MostafaMohammad Bani YounisAhmad Maher Al SayehMona Abdelmoneim Abdelmabood EbrahimSamar Zuhair AlshawwaHeba Abdelazezm Hassan IsmailManal Mahrous Abdalhamed MohamedSara Wans AlshmmryMalik Bader AlazzamMd Kawser Ahmed
Published in: Applied bionics and biomechanics (2022)
The aim of this study is to demonstrate the effect of particle size on semiconductor properties; artificial intelligence is being used for the research methods. As a result, we picked cadmium sulfide (CdS), which is a unique semiconductor material that is employed in a broad variety of current applications. Given that CdS has distinct electrical and optical characteristics, it may be employed in the production of solar cells, for example. Solar cells, as is also well known, have become an essential source of energy in the world. Within the visible range (500-700 nm), we create one layer of bulk CdS and one layer of nano-CdS air bulk CdS air and air nano-CdS air. We used a number of instrumentation methods to investigate the naked CdS nanoparticles, including XRD, SEM-EDX, UV-Vis spectroscopy, TEM, XPS, and PL spectroscopy, among others. The results show that for bulk CdS at normal incidence, the transmittance is T = 45, and for nano-CdS with particle size 3 nm, the transmittance is T = 85.8, with transverse-electric (S-polarized) and transverse-magnetic (P-polarized) transmittances of TE = 75 and TM = 80, respectively.
Keyphrases
  • quantum dots
  • artificial intelligence
  • solar cells
  • visible light
  • machine learning
  • big data
  • high resolution
  • deep learning
  • room temperature
  • single molecule
  • risk assessment
  • solid state