Aims & Scope

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.

View Aims & Scope

Metrics & Ranking

Impact Factor

Year Value
2025 1.9

SJR (SCImago Journal Rank)

Year Value
2024 0.604

Quartile

Year Value
2024 Q2

h-index

Year Value
2024 78

Impact Factor Trend


Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.


Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Chemical Engineering, Chemistry and Computer Science, designed to support cutting-edge academic discovery.


Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.


Quick Facts

Current Factor
1.9
First Published: 2025

SJR (SCImago Journal Rank)

SJR
0.604
First Published: 2024

Quartile

Current Quartile
Q2
First Published: 2024

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