Development and comparison of the techniques for solving the inverse problem in photoacoustic characterization of semiconductors

Autor:	Katarina Djordjevic, Mioljub V. Nešić, M. Popovic, V. Miletic, Dragan D. Markushev, M. I. Jordovic-Pavlovic, Slobodanka Galović
Rok vydání:	2021
Předmět:	Physics Frequency response Artificial neural network Applied mathematics Inverse Electrical and Electronic Engineering Inverse problem Thermal diffusivity Perceptron Atomic and Molecular Physics and Optics Backpropagation Electronic Optical and Magnetic Materials Exponential function
Zdroj:	Optical and Quantum Electronics. 53
ISSN:	1572-817X 0306-8919
DOI:	10.1007/s11082-021-02958-0
Popis:	In this work, theoretically/mathematically simulated (TMS) model is presented for the photoacoustic (PA) frequency response of a semiconductor in a minimum volume PA cell. By analyzing of the TMS model, the influences of thermal diffusivity and linear coefficient of thermal expansion on silicon sample PA frequency response were investigated and two methods were developed for their estimation. The first one is a self consistent inverse procedure for solving the exponential problems of mathematical physics, based on regression. The second one, a well trained three-layer perceptron with back propagation, based upon theory of artificial neural networks, is developed and presented. These two inverse problem solving concepts are applied to thermo-elastic characterization of silicon, compared and discussed in the domain of semiconductor characterization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::67e1bf976256c6a3c17f94d01fe4cda7 https://doi.org/10.1007/s11082-021-02958-0 Zobrazit plný text záznamu Full text from SpringerLink