MODELING THE PROPERTIES OF GAS SENSOR MATERIALS BASED ON ORGANIC SEMICONDUCTORS
Authors:
1.
Anton Chekhov Taganrog State Institute - branch of Rostov State University of Economics
Type:
Сonference article
Published:
29.12.2021
Subject area:
UDK 62 Инженерное дело. Техника в целом. Транспорт
GRNTI 28.17 Теория моделирования
BBK 30 Техника и технические науки в целом
GRNTI 28.17 Теория моделирования
BBK 30 Техника и технические науки в целом
Language:
Russian
Keywords:
modeling, gas sensitivity, regression analysis, polyacrylonitrile
Abstract (English):
An approach has been developed for modeling the gas-sensitive and physicochemical properties of materials based on organic semiconductors. The approach is based on the use of various modeling methods: linear, nonlinear regression analysis and neural networks. The parameters of the technological process of the formation of materials were selected as external signals for modeling: the mass fraction of metal in the film-forming solution, the temperature and time of the first and second stages of annealing.
An approach has been developed for modeling the gas-sensitive and physicochemical properties of materials based on organic semiconductors. The approach is based on the use of various modeling methods: linear, nonlinear regression analysis and neural networks. The parameters of the technological process of the formation of materials were selected as external signals for modeling: the mass fraction of metal in the film-forming solution, the temperature and time of the first and second stages of annealing.
Keywords:
modeling, gas sensitivity, regression analysis, polyacrylonitrile
modeling, gas sensitivity, regression analysis, polyacrylonitrile
1. No references.
