Publication

A precise new method to evaluate Monte Carlo simulations of electron transport in semiconductors

Markus Siegrist
1996
Journal Articles

Abstract

Monte Carlo simulations of the electron drift response to an ac-electric field are used to calculate the power dependent third harmonic generation efficiency for far-infrared radiation. The results are compared with far-infrared frequency tripling experiments. It is shown that the nonlinear optical properties are much more sensitive to parameter changes in the Monte Carlo simulation than conventional drift velocity results. Hence, this is a sensitive method to test Monte Carlo transport simulations. (C) 1996 American Institute of Physics.

Official source

https://infoscience.epfl.ch/entities/publication/a34123c7-acfc-4580-bbb3-410589a4ea02

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Markus Siegrist
1996
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/a34123c7-acfc-4580-bbb3-410589a4ea02

About this result

Related concepts (32)

Monte Carlo method

Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other approaches. Monte Carlo methods are mainly used in three problem classes: optimization, numerical integration, and generating draws from a probability distribution.

Markov chain Monte Carlo

In statistics, Markov chain Monte Carlo (MCMC) methods comprise a class of algorithms for sampling from a probability distribution. By constructing a Markov chain that has the desired distribution as its equilibrium distribution, one can obtain a sample of the desired distribution by recording states from the chain. The more steps that are included, the more closely the distribution of the sample matches the actual desired distribution. Various algorithms exist for constructing chains, including the Metropolis–Hastings algorithm.

Electric current

An electric current is a flow of charged particles, such as electrons or ions, moving through an electrical conductor or space. It is defined as the net rate of flow of electric charge through a surface. The moving particles are called charge carriers, which may be one of several types of particles, depending on the conductor. In electric circuits the charge carriers are often electrons moving through a wire. In semiconductors they can be electrons or holes.

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A precise new method to evaluate Monte Carlo simulations of electron transport in semiconductors

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