NEURAL NETWORK MODELS OF PHOTOSENSORS BASED ON THIN FILMS
https://doi.org/10.15518/isjaee.2015.19.008
Abstract
The paper deals with the multifactor computing models, summarizing the results of experiments on the development of photosensors based on thin films of metals and nanofilms of linear-chain carbon, which are created by using artificial neural networks. These models allow engineers to solve the direct and inverse problems of creating of photosensors with desired characteristics, as well as to predict the new technology to create ones.
About the Authors
V. S. Abrukov
Chuvash State University named after I.N. Ulyanov
Russian Federation
DSc (physics and mathematics), Head of Applied Physics and Nanotechnology department, Chuvash State University named after I.N. Ulyanova
Russian Federation
DSc (physics and mathematics), Head of Applied Physics and Nanotechnology department, Chuvash State University named after I.N. Ulyanova
V. A. Smirnov
Chuvash State University named after I.N. Ulyanov
Russian Federation
engineer in CSU named after I.N. Ulyanova, chairman of the Association of Young Physicists of Chuvashia
Russian Federation
engineer in CSU named after I.N. Ulyanova, chairman of the Association of Young Physicists of Chuvashia
References
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Review
For citations:
Abrukov V.S., Smirnov V.A. NEURAL NETWORK MODELS OF PHOTOSENSORS BASED ON THIN FILMS. Alternative Energy and Ecology (ISJAEE). 2015;(19):61-69. (In Russ.) https://doi.org/10.15518/isjaee.2015.19.008
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