Speaker
Katarina Djordjevic
(University of Belgrade, „VINČA” Institute of Nuclear Sciences - National Institute of thе Republic of Serbia, University of Belgrade, PO box 522, 11000 Belgrade, Serbia)
Description
The idea of this paper is to develop a method for determination thermal diffusivity, linear expansion coefficient and thickness of a semiconductor sample from photoacoustic phase measurement by using neural network. The neural network has been trained on a large basis of photoacoustic phases obtained from a theoretical Si n-type model in the range of 20Hz to 20kHz. The advantages of using a phase neural network with high accuracy and precision in prediction depending on the number of epochs are presented, as well as analyzes of the application of random Gaussian noise to the network in order to better predict the experimental photoacoustic signal. An analysis of a theoretical photoacoustic model with a phase neural network is demonstrated.
Primary author
Katarina Djordjevic
(University of Belgrade, „VINČA” Institute of Nuclear Sciences - National Institute of thе Republic of Serbia, University of Belgrade, PO box 522, 11000 Belgrade, Serbia)
Co-authors
Dr
Slobodanka Galović
(University of Belgrade, „VINČA” Institute of Nuclear Sciences - National Institute of thе Republic of Serbia, University of Belgrade, PO box 522, 11000 Belgrade, Serbia)
Dr
Miroslava Jordovic-Pavlović
(College of Applied Sciences Užice)
Dr
Dragan Markushev
(University of Belgrade, Institute of Physics Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, 11080 Belgrade (Zemun), Serbia)
Dr
Dragana Markushev
(University of Belgrade, Institute of Physics Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, 11080 Belgrade (Zemun), Serbia)
Dr
Mioljub Nešić
(University of Belgrade, „VINČA” Institute of Nuclear Sciences - National Institute of thе Republic of Serbia, University of Belgrade, PO box 522, 11000 Belgrade, Serbia)
Dr
Marica Popović
(University of Belgrade, Institute of Physics Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, 11080 Belgrade (Zemun), Serbia)
