Phasego: A toolkit for automatic calculation and plot of phase diagram
Phasego: A toolkit for automatic calculation and plot of phase diagram
复制标题
Phasego:自动计算和绘制相图的工具包
DOI:
10.1016/j.cpc.2015.01.023
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发表时间:
2014-10
影响因子:
6.3
通讯作者:
Zhong-Li Liu
中科院分区:
文献类型:
--
作者:
Zhong-Li Liu
ThePhasegopackage extracts the Helmholtz free energy from the phonon density of states obtained by the first-principles calculations. With the help of equation of states fitting, it reduces the Gibbs free energy as a function of pressure/temperature at fixed temperature/pressure. Based on the quasi-harmonic approximation (QHA), it calculates the possible phase boundaries among all the structures of interest and finally plots the phase diagram automatically. For the single phase analysis,Phasegocan numerically derive many properties, such as the thermal expansion coefficients, the bulk moduli, the heat capacities, the thermal pressures, the Hugoniot pressure–volume–temperature relations, the Grüneisen parameters, and the Debye temperatures. In order to check its ability of phase transition analysis, I present here two examples: semiconductor GaN and metallic Fe. In the case of GaN,Phasegoautomatically determined and plotted the phase boundaries among the provided zinc blende (ZB), wurtzite (WZ) and rocksalt (RS) structures. In the case of Fe, the results indicate that at high temperature the electronic thermal excitation free energy corrections considerably alter the phase boundaries among the body-centered cubic (bcc), face-centered cubic (fcc) and hexagonal close-packed (hcp) structures.Program summaryProgram title:PhasegoCatalogue identifier:AEVQ_v1_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AEVQ_v1_0.htmlProgram obtainable from:CPC Program Library, Queen’s University, Belfast, N. IrelandLicensing provisions:GNU General Public License, version 3No. of lines in distributed program, including test data, etc.:837140No. of bytes in distributed program, including test data, etc.:8816053Distribution format:tar.gzProgramming language:Python (versions 2.4 and later).Computer:Any computer that can run Python (versions 2.4 and later).Operating system:Any operating system that can run Python.RAM:10 M bytesClassification:7.8.External routines:Numpy [1], Scipy [2], Matplotlib [3]Nature of problem:Materials usually undergo structural phase transitions when the environmental pressure and temperature are elevated to high enough values. The phase transition process obeys the principle of lowest Gibbs free energy. In addition to the static energy, current density functional theory (DFT) calculations can easily give the phonon density of states of lattice vibrations, from which the Helmholtz free energy of phonons are reduced. Then Gibbs free energy can be achieved for the analysis of phase stability and phase transition at high pressure and temperature within the framework of QHA. The problem is to extract the Gibbs free energies from the DFT calculations and automatically analyze the high pressure and temperature phase boundaries among a number of structures.Solution method:With the help of numerical interpolation techniques, the Gibbs free energy as a function of pressure/temperature at fixed temperature/pressure can be obtained. Then the QHA based phase boundaries can be automatically determined and plotted by scanning the pressure/temperature at fixed temperature/pressure according to the principle of lowest Gibbs free energy.Restrictions:The restriction is from the QHA which takes partially into account the anharmonic effects.Unusual features:The phase boundaries among a number of structures can be automatically determined and plotted, which largely improve the efficiency of phase transition analysis. In addition to some basic thermodynamic properties of each single structure, the Hugoniot pressure–volume–temperature relations are also automatically reduced.Additional comments:This …
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DOI:
10.1088/0953-8984/1/11/002
发表时间:
1989-03
期刊:
Journal of Physics: Condensed Matter
影响因子:
--
作者:
Pascal Vinet;J. H. Rose;J. Ferrante;John R. Smith-
通讯作者:
Pascal Vinet;J. H. Rose;J. Ferrante;John R. Smith-
DOI:
10.1036/1097-8542.209200
发表时间:
2014
期刊:
Access Science
影响因子:
--
作者:
D. J. Doornbos
通讯作者:
D. J. Doornbos
影响因子:
64.8
作者:
O. Lodge
通讯作者:
O. Lodge
DOI:
10.1002/0470845856
发表时间:
2002-05
期刊:
--
影响因子:
--
作者:
J. H. Westbrook;R. Fleischer
通讯作者:
J. H. Westbrook;R. Fleischer
影响因子:
6.3
作者:
Otero-de-la-Roza, A.;Abbasi-Perez, David;Luana, Victor
通讯作者:
Luana, Victor