CALPHAD-COMPUTER COUPLING OF PHASE DIAGRAMS AND THERMOCHEMISTRY Q2区

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.

工业过程的设计需要可靠的热力学数据。卡尔法（相图和热化学的计算机耦合）的目的是通过开发模型来表示各种相的热力学性质，从而促进计算热力学，这些模型允许从二元和三元子系统的性质预测多组分系统的性质，对数据进行临界评估并将其纳入自洽数据库，开发优化和导出热力学参数的软件，开发和使用计算数据库，以增进对各种工业和技术过程的了解。这项工作通过CALPHAD杂志及其年度会议传播。

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