Calphad

Calphad

  • Volume 4
  • Issue 4
  • ISSN 0364-5916
  • SCImago Journal Rank (SJR): 0.757
  • Source Normalized Impact per Paper (SNIP): 1.271
  • Impact Factor: 2.017
  • Five Year Impact Factor: 2.734
Editor-in-chief: Liu

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Next planned ship date: Dec 08, 2021

Description

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. Contributions of high quality in these and related fields, especially the fields of first-principles calculations, experimental measurements of thermochemical and phase equilibrium data, phase transformations, and the process and materials designs that the CALPHAD works are based on or used for, are welcome.

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Product details

  • SCImago Journal Rank (SJR): 0.757
  • Source Normalized Impact per Paper (SNIP): 1.271
  • Impact Factor: 2.017
  • Five Year Impact Factor: 2.734
  • ISSN: 0364-5916
  • Issues: 4
  • Volume: 4
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Publication schedule

Issue volumeIssue yearPlanned ship dateActual ship date
72C2021Mar 08, 2021Feb 26, 2021
73C2021May 31, 2021Jun 03, 2021
74C2021Aug 30, 2021Aug 23, 2021
75C2021Dec 08, 2021
76C2022Mar 08, 2022
77C2022Jun 08, 2022
78C2022Sep 08, 2022
79C2022Dec 09, 2022