journal article·2015-03

Set based framework for Gibbs energy minimization

Jeff Snider, Igor Griva, Xiaodi Sun, Maria Emelianenko

Calphad· Volume 48
Publisher page

Abstract

A new unified approach to Gibbs energy minimization is introduced. While it has only been tested on binary and ternary systems so far, it has a built in capability of handling arbitrary multicomponent multiphase systems with any number of sublattices, miscibility gaps, order–disorder transitions, and magnetic contributions. This new unified AMPL set-based Gibbs energy description optimizes the data representation and makes it possible to subject the task of phase diagram calculation to numerous existing general purpose optimization strategies as well as custom-made solvers. The approach is tested on a variety of systems, including Co–Mo, Al–Pt and Ca–Li–Na, all known to be computationally challenging for other approaches. In most of the tested systems, the AMPL code reproduces phase diagrams obtained via Thermo-Calc. In other systems, in-depth comparison of results suggests that in prior work a sub-optimal equilibrium might have been identified as a global one, and re-evaluation of previously published diagrams and databases might be necessary.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Machine Learning in Materials Science · High Temperature Alloys and Creep · X-ray Diffraction in Crystallography

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (27)

Show source-provided references
1. U. Kattner, The thermodynamic modeling of multicomponent phase equilibria, J. Med. JOM 49, 14–19, http://www.tms.org/pubs/journals/JOM/JOMhome.aspx.10.1007/s11837-997-0024-5 ↗
2. Phase diagram calculation10.1016/S0079-6425(03)00025-2 ↗
3. The pandat software package and its applications10.1016/S0364-5916(02)00034-2 ↗
4. A new algorithm for the automation of phase diagram calculation10.1016/j.commatsci.2005.03.004 ↗
5. Fourer · 2003
6. ESPEI
7. Open Calphad project. 〈http://www.opencalphad.com/〉, February 2014.
9. NanoHUB. 〈http://nanohub.org/〉.
10. On the calculation of multicomponent stable phase diagrams10.1361/105497101770332910 ↗
11. R.J. Vanderbei, LOQO User׳s Manual–Version 4.05., 〈http://www.princeton.edu/~rvdb/tex/loqo/loqo405.pdf〉, Technical Report, Princeton University, 2006.
12. B.A. Murtagh, M.A. Saunders, MINOS 5.5 User׳s Guide, Technical Report SOL 82-20R, Stanford University, 1983–1998.10.21236/ADA138522 ↗
13. P.E. Gill, W. Murray, M.A. Saunders, User׳s Guide for SNOPT version 7: software for Large-Scale Nonlinear Programming, Technical Report. University of California, San Diego, Stanford University, 2008.
14. AMPL website. 〈http://www.ampl.com/〉.
15. Lukas · 2007
16. Thermodynamic assessment of the Co–Mo system10.1361/105497199770335893 ↗
17. First-Principles calculations and thermodynamic modeling of the Al–Pt binary system10.1016/j.calphad.2010.10.008 ↗
18. Hillert · 2008
19. Thermodynamic modeling of the Ca–Li–Na system10.1016/j.calphad.2003.09.001 ↗
20. A regular solution model for phases with several components and sublattices, suitable for computer applications10.1016/0022-3697(81)90144-X ↗
21. An improved magnetic model for thermodynamic modeling10.1016/j.calphad.2012.07.002 ↗
22. FactSage thermochemical software and databases—recent developments10.1016/j.calphad.2008.09.009 ↗
23. Griva · 2009
24. THERMO-CALC & DICTRA, computational tools for materials science10.1016/S0364-5916(02)00037-8 ↗
25. Thermo-Calc Software AB., Thermo-Calc Database Guide, 〈http://www3.thermocalc.se/res/Manuals/TC_databaseguide.pdf〉, 2010.
26. Revised thermodynamic description for the Co–Mo system10.1361/105497103770330505 ↗
27. A CALPHAD Helmholtz energy approach to calculate thermodynamic and thermophysical properties of fcc Cu10.1080/14786430903059004 ↗