Open AccessMonte carlo optimization of multi-layer semiconductor material
Author(s) -
Hongyi Zhang,
Qian Wan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/675/1/012207
Subject(s) - monte carlo method , semiconductor , semiconductor device , computer science , economic shortage , energy (signal processing) , set (abstract data type) , mathematical optimization , layer (electronics) , materials science , physics , mathematics , nanotechnology , optoelectronics , linguistics , statistics , philosophy , quantum mechanics , government (linguistics) , programming language
At present, the demand for various types of semiconductor devices is increasing, and under the current situation of energy shortage, the improvement of the energy efficiency of semiconductors is the top priority for development of science and technology. For this purpose, this article establishes a physical model and mathematical optimization model for multi-layer semiconductors based on Monte Carlo Simulation. The developed model and corresponding equations are derived from thermodynamic theory and principles, and the computer programming is set up to get the optimal design of multilayer semiconductors through Monte Carlo simulation to achieve higher energy efficiency.