Volume 44, Number 5, September-October 2010Special Issue on Probabilistic methods and their applications
|Page(s)||1049 - 1068|
|Published online||26 August 2010|
Numerical study of the systematic error in Monte Carlo schemes for semiconductors
Dipartimento di Matematica e Informatica,
Università degli Studi di Catania,
Viale Andrea Doria 6, 95125 Catania, Italy. firstname.lastname@example.org
2 Weierstrass Institute for Applied Analysis and Stochastics, Mohrenstrasse 39, 10117 Berlin, Germany. email@example.com
3 Dipartimento di Matematica, Università degli Studi di Messina, Contrada Papardo 31, 98166 Messina, Italy. firstname.lastname@example.org
Revised: 6 April 2009
The paper studies the convergence behavior of Monte Carlo schemes for semiconductors. A detailed analysis of the systematic error with respect to numerical parameters is performed. Different sources of systematic error are pointed out and illustrated in a spatially one-dimensional test case. The error with respect to the number of simulation particles occurs during the calculation of the internal electric field. The time step error, which is related to the splitting of transport and electric field calculations, vanishes sufficiently fast. The error due to the approximation of the trajectories of particles depends on the ODE solver used in the algorithm. It is negligible compared to the other sources of time step error, when a second order Runge-Kutta solver is used. The error related to the approximate scattering mechanism is the most significant source of error with respect to the time step.
Mathematics Subject Classification: 82D37 / 65C05
Key words: Boltzmann-Poisson equations / electronic devices / Monte Carlo simulations
© EDP Sciences, SMAI, 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.