Calphad

期刊简介：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.

【译文】工业过程的设计需要可靠的 thermodynamic data。CALPHAD（计算机耦合相图与热化学）旨在通过开发模型来表示各种相的热力学性质，从而允许从二元和三元子系统的性质预测多组分系统的性质，对数据进行关键评估并将它们纳入自洽数据库，开发软件以优化和推导热力学参数，以及开发和使用数据库进行计算以改善对各种工业和技术过程的理解。这项工作通过CALPHAD期刊及其年度会议进行传播。