Literature DB >> 28260838

The OpenCalphad thermodynamic software interface.

Bo Sundman1, Ursula R Kattner2, Christophe Sigli3, Matthias Stratmann4, Romain Le Tellier5, Mauro Palumbo6, Suzana G Fries4.   

Abstract

Thermodynamic data are needed for all kinds of simulations of materials processes. Thermodynamics determines the set of stable phases and also provides chemical potentials, compositions and driving forces for nucleation of new phases and phase transformations. Software to simulate materials properties needs accurate and consistent thermodynamic data to predict metastable states that occur during phase transformations. Due to long calculation times thermodynamic data are frequently pre-calculated into "lookup tables" to speed up calculations. This creates additional uncertainties as data must be interpolated or extrapolated and conditions may differ from those assumed for creating the lookup table. Speed and accuracy requires that thermodynamic software is fully parallelized and the Open-Calphad (OC) software is the first thermodynamic software supporting this feature. This paper gives a brief introduction to computational thermodynamics and introduces the basic features of the OC software and presents four different application examples to demonstrate its versatility.

Entities:  

Keywords:  CALPHAD; Computational Thermodynamics; Free Software; Parallel Computing; Phase Transformations; Simulations

Year:  2016        PMID: 28260838      PMCID: PMC5329768          DOI: 10.1016/j.commatsci.2016.08.045

Source DB:  PubMed          Journal:  Comput Mater Sci        ISSN: 0927-0256            Impact factor:   3.300


  1 in total

1.  Phase-field model for binary alloys.

Authors:  S G Kim; W T Kim; T Suzuki
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1999-12
  1 in total
  1 in total

1.  Machine learning the metastable phase diagram of covalently bonded carbon.

Authors:  Srilok Srinivasan; Rohit Batra; Duan Luo; Troy Loeffler; Sukriti Manna; Henry Chan; Liuxiang Yang; Wenge Yang; Jianguo Wen; Pierre Darancet; Subramanian K R S Sankaranarayanan
Journal:  Nat Commun       Date:  2022-06-06       Impact factor: 17.694

  1 in total

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