DCal.app：用于计算 FCC/BCC/HCP 合金中示踪剂和相互扩散系数的用户友好型工具

IF 1.9 3区材料科学 Q4 CHEMISTRY, PHYSICAL

Calphad-computer Coupling of Phase Diagrams and Thermochemistry Pub Date : 2025-03-01 DOI:10.1016/j.calphad.2025.102811

Haiyu Luo, Wensheng Liu, Yunzhu Ma, Chaoping Liang

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DCal.app: A user-friendly tool for tracer and interdiffusion coefficient in FCC/BCC/HCP alloys

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DCal.app: A user-friendly tool for tracer and interdiffusion coefficient in FCC/BCC/HCP alloys

The Diffusion Coefficient Calculation software (DCal.app) is a free, user-friendly tool designed to investigate the atomic diffusivity and mobility of the most common alloy structures, like FCC, BCC, and HCP by pre- and post-processing the results of first-principles calculation. The software with intuitive graphical user interface (GUI) enables users to obtain tracer diffusion coefficients, interdiffusion coefficients, and mobility parameters for binary alloys. Additionally, DCal.app can generate the perfect structures of any supercell size, as well as the initial and final defect state structures for each diffusion path based on the analytical diffusion models. The software also provides a way to estimate the key factors in atomic diffusion behavior such as jump frequency, correlation factor, and vacancy concentration. This article offers a concise overview of the current version of DCal.app, including the underlying theory of atomic diffusion, the algorithm, and the various functions it incorporates. Four examples are provided to demonstrate each function in our software. The application of DCal.app optimizes resource efficiency in obtaining the kinetic properties, accelerating research in common alloys with precise mobility database.

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来源期刊

Calphad-computer Coupling of Phase Diagrams and Thermochemistry 化学-热力学

CiteScore

4.00

自引率

16.70%

发文量

审稿时长

2.5 months

期刊介绍： The design of industrial processes requires reliable thermodynamic data. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) aims to promote computational thermodynamics through development of models to represent thermodynamic properties for various phases which permit prediction of properties of multicomponent systems from those of binary and ternary subsystems, critical assessment of data and their incorporation into self-consistent databases, development of software to optimize and derive thermodynamic parameters and the development and use of databanks for calculations to improve understanding of various industrial and technological processes. This work is disseminated through the CALPHAD journal and its annual conference.