Configurational Entropy in Multicomponent Alloys: Matrix Formulation from Ab Initio Based Hamiltonian and Application to the FCC Cr-Fe-Mn-Ni System

Antonio Ferenandez-Caballero , Mark Fedorov , Jan Wróbel , Paul Mummery , Duc Nguyen-Manh


Configuration entropy is believed to stabilize disordered solid solution phases in multicomponent systems at elevated temperatures over intermetallic compounds by lowering the Gibbs free energy. Traditionally, the increment of configuration entropy with temperature was computed by time-consuming thermodynamic integration methods. In this work, a new formalism based on a hybrid combination of the Cluster Expansion (CE) Hamiltonian and Monte Carlo simulations is developed to predict the configuration entropy as a function of temperature from multi-body cluster probability in a multi-component system with arbitrary average composition. The multi-body probabilities are worked out by explicit inversion and direct product of a matrix formulation within orthonomal sets of point functions in the clusters obtained from symmetry independent correlation functions. The matrix quantities are determined from semi canonical Monte Carlo simulations with Effective Cluster Interactions (ECIs) derived from Density Functional Theory (DFT) calculations. The formalism is applied to analyze the 4-body cluster probabilities for the quaternary system Cr-Fe-Mn-Ni as a function of temperature and alloy concentration. It is shown that, for two specific compositions (Cr 25Fe 25Mn 25Ni 25 and Cr 18Fe 27Mn 27Ni 28), the high value of probabilities for Cr-Fe-Fe-Fe and Mn-Mn-Ni-Ni are strongly correlated with the presence of the ordered phases L1 2 -CrFe 3 and L1 0-MnNi, respectively. These results are in an excellent agreement with predictions of these ground state structures by ab initio calculations. The general formalism is used to investigate the configuration entropy as a function of temperature and for 285 different alloy compositions. It is found that our matrix formulation of cluster probabilities provides an efficient tool to compute configuration entropy in multi-component alloys in a comparison with the result obtained by the thermodynamic integration method. At high temperatures, it is shown that many-body cluster correlations still play an important role in understanding the configuration entropy before reaching the solid solution limit of high-entroy alloys (HEAs).
Author Antonio Ferenandez-Caballero - University of Manchester
Antonio Ferenandez-Caballero,,
, Mark Fedorov
Mark Fedorov,,
, Jan Wróbel (FMSE / DMD)
Jan Wróbel,,
- Division of Materials Design
, Paul Mummery - University of Manchester
Paul Mummery,,
, Duc Nguyen-Manh
Duc Nguyen-Manh,,
Journal seriesEntropy, ISSN , e-ISSN 1099-4300
Issue year2019
Publication size in sheets3.4
Keywords in PolishStopy wieloskładnikowe, modelowanie ab-initio, entropia konfiguracyjna, metoda cluster expansion, symulacje Monte Carlo
Keywords in Englishmulticomponent alloys, ab initio modelling, configurational entropy, cluster expansion method, Monte Carlo simulations
Languageen angielski
Configurational.pdf 2.15 MB
Score (nominal)5
Score sourcejournalList
ScoreMinisterial score = 5.0, 11-02-2020, ArticleFromJournal
Citation count*4 (2020-04-18)
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