A maximum likelihood method for linking particle-in-cell and Monte-Carlo transport simulations

DOI10.1016/J.CPC.2004.06.042zbMath1196.82005OpenAlexW2083119318MaRDI QIDQ709644

Lin Yin, Thomas J. T. Kwan, Kevin J. Bowers, Barbara G. Devolder

Publication date: 18 October 2010

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2004.06.042

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistical mechanics (82-04)

Related Items (1)

An unsupervised machine-learning checkpoint-restart algorithm using Gaussian mixtures for particle-in-cell simulations

Cites Work

• Statistical analysis of finite mixture distributions
• Unnamed Item
• Unnamed Item

This page was built for publication: A maximum likelihood method for linking particle-in-cell and Monte-Carlo transport simulations