NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Scientific Software Sustainability for Stochastic Codes---ZENO, an Example from NIST

Published

Author(s)

Walid Keyrouz, Michael V. Mascagni

Abstract

We consider the unique issues related to software sustainability that accompany scientific codes that employ stochastic algorithms. These are codes that often implement Monte Carlo methods (MCMs). We will focus our attention on ZENO, a code of interest at NIST that uses MCMs to compute materials properties.
Citation
Computational Science and Engineering Software Sustainability and Productivity Challenges
Pub Weblink
https://www.nitrd.gov/csessp/
Pub Type
Websites

Keywords

Stochastic algorithms, Monte Carlo methods, Software sustainability
Computational science

Citation

Keyrouz, W. and Mascagni, M. (2015), Scientific Software Sustainability for Stochastic Codes---ZENO, an Example from NIST, Computational Science and Engineering Software Sustainability and Productivity Challenges, [online], https://www.nitrd.gov/csessp/ (Accessed October 20, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created October 15, 2015, Updated April 30, 2019
Was this page helpful?