A study of acousto-electron effects in semiconductor quantum dots and bionanocomplexes based on them using deep machine learning

Editorial Board PCSS Journal; Olesya Dan'kiv; Andrii Stolyarchuk; Oleksandr Viychuk; Ihor Stolyarchuk; Oleh Kuzyk

doi:10.15330/pcss.26.4.882-887

Authors

Olesya Dan'kiv Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
Andrii Stolyarchuk Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
Oleksandr Viychuk Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
Ihor Stolyarchuk Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
Oleh Kuzyk Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine

DOI:

https://doi.org/10.15330/pcss.26.4.882-887

Keywords:

core-shell quantum dot, bionanocomplex, acousto-electron effect, deep machine learning

Abstract

An artificial neural network architecture has been developed that is capable of predicting changes in the energy spectrum of semiconductor quantum dots and their bionanocomplexes under the influence of an acoustic wave and interaction with human serum albumin molecules based on its specified geometric sizes, elastic constants and deformation potential constants of the allowed energy bands of quantum dot materials, as well as the frequency and amplitude of the ultrasonic wave and the surface concentration of human serum albumin. Two artificial neural network architectures have been implemented and optimized. Both models contain three hidden layers; however, the second architecture involves expanding the input space by adding harmonic functions. Both approaches to neural network modeling demonstrate good agreement with the results of mathematical modelling, provided that the input parameters lie within the training range. In the case when the input parameters lie outside the training sample, the model using additional harmonic functions at the input demonstrates a much better result. Within the framework of the developed model for the CdSe/ZnS/CdS/ZnS QD–human serum albumin bionanocomplex, the dependence of the energy shift of the radiation quantum on the frequency of the acoustic wave was investigated for different values of the surface concentration of albumin and different geometric sizes of the core and shell of the quantum dot.

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