Skip to main content

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.

Phase Field Benchmark Problems for Nucleation

Published

Author(s)

Wenkun Wu, David M. Taboada, Jonathan Guyer, Peter W. Voorhees, James Warren, Daniel Wheeler, Tamas Pusztai, Laszlo Granasy, Olle G. Heinonen

Abstract

We present nucleation phase field model benchmark problems, expanding on our previous benchmark problems on diffusion, precipitation, dendritic growth, linear elasticity, fluid flow and electrochemistry. Nucleation is the first step in the formation of either a new thermo- dynamic phase or a new structure via self-assembly or self-organization. Based on where the nucleation occurs, it can be divided into two main categories: homogeneous nucleation and heterogeneous nucleation. In the first nucleation benchmark problem, we focus on ho- mogeneous nucleation for both single seed under different initial conditions and multiple seeds. The second nucleation benchmark problem focuses on athermal heterogeneous nucle- ation and nucleation behaviour near the free growth limit with different undercooling driving force.
Citation
Computational Materials Science

Keywords

phase field, benchmark, nucleation

Citation

Wu, W. , Taboada, D. , Guyer, J. , Voorhees, P. , Warren, J. , Wheeler, D. , Pusztai, T. , Granasy, L. and Heinonen, O. (2022), Phase Field Benchmark Problems for Nucleation, Computational Materials Science, [online], https://doi.org/10.1016/j.commatsci.2021.110371, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=931007 (Accessed October 6, 2025)

Issues

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

Created June 1, 2022, Updated September 29, 2025
Was this page helpful?