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Calphad: Computer Coupling of Phase Diagrams and Thermochemistry
H-index 17

Calphad: Computer Coupling of Phase Diagrams and Thermochemistry

0364-5916

Published by: Elsevier

https://www.journals.elsevier.com/calphad

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Materials Science 395 73 173 17
Chemistry 854 18 34 7

Additional Metrics

Number of Best Scientists*: 110
Documents by Best Scientists*: 219
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 78
SCIMAGO SJR: 0.604
Impact Factor: 1.9

Overview

Top Research Topics at Calphad-computer Coupling of Phase Diagrams and Thermochemistry?

Calphad-computer Coupling of Phase Diagrams and Thermochemistry tackles a plethora of topics, such as Thermodynamics, Phase diagram, CALPHAD, Phase (matter) and Ternary operation. Calphad-computer Coupling of Phase Diagrams and Thermochemistry facilitates discussions on Thermodynamics that incorporate concepts from other fields like Ternary numeral system and Liquidus. The research on Phase diagram featured in it combines topics in other fields like Solid solution, Isothermal process, Stoichiometry, Physical chemistry and Enthalpy.

The studies on CALPHAD discussed can also contribute to research in the domains of Intermetallic, Material properties, Thermodynamic process, Standard enthalpy of formation and Metallurgy. It aims to address concerns in Material properties, specifically in the areas of Thermodynamic databases for pure substances and Thermodynamic state. Metallurgy research is concerned with Alloy in particular.

While Phase (matter) is the focus of it, it also provided insights into the studies of Crystallography, Solubility and Analytical chemistry.

  • Thermodynamics (70.26%)
  • Phase diagram (41.84%)
  • CALPHAD (35.17%)

What are the most cited papers published in the journal?

  • SGTE data for pure elements (3631 citations)
  • The Thermo-Calc databank system☆ (2723 citations)
  • Thermo-Calc & DICTRA, computational tools for materials science (2376 citations)

Research areas of the most cited articles at Calphad-computer Coupling of Phase Diagrams and Thermochemistry:

The most cited papers primarily tackle Thermodynamics, Phase diagram, CALPHAD, Gibbs free energy and Phase (matter). The published Thermodynamics works encompass concepts such as Material properties and examines them in conjunction with Binary system. While Phase diagram is the focus of the journal papers, it also provides insights into the studies of Metallurgy, Solid solution, Liquidus, Standard enthalpy of formation and Enthalpy.

What topics the last edition of the journal is best known for?

  • Quantum mechanics
  • Thermodynamics
  • Organic chemistry

The previous edition focused in particular on these issues:

The journal investigates studies in Thermodynamics, CALPHAD, Phase (matter), Phase diagram and Ternary operation. Calphad-computer Coupling of Phase Diagrams and Thermochemistry focused on Thermodynamics research but expanded to cover Ternary numeral system. The work on CALPHAD tackled in it brings together disciplines like Phase transition, Superalloy, Intermetallic, Crystal structure and Diffusion.

The journal holds forums on Phase (matter) that merges themes from other disciplines such as Alloy and Solid solution, Electron microprobe, Analytical chemistry. Issues in Phase diagram were discussed, taking into consideration concepts from other disciplines like Eutectic system, Thermoelectric effect and Ab initio quantum chemistry methods. Ternary operation research in it involves the investigation of Oxide studies, all of which are linked to disciplines such as Ionic bonding.

The most cited articles from the last journal are:

  • TAF-ID: An international thermodynamic database for nuclear fuels applications (9 citations)
  • CALPHAD modeling of the glass transition for a pure substance, coupling thermodynamics and relaxation kinetics (4 citations)
  • Thermodynamic optimization of the Cu–As–S system (3 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Calphad-computer Coupling of Phase Diagrams and Thermochemistry (based on the number of publications) are:

  • Yong Du (182 papers) published 10 papers at the last edition, 9 less than at the previous edition,
  • Lijun Zhang (67 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Zi Kui Liu (62 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Changrong Li (62 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Bo Sundman (55 papers) published 1 paper at the last edition the same number as at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Calphad-computer Coupling of Phase Diagrams and Thermochemistry (based on the number of publications) are:

  • Central South University (241 papers) published 16 papers at the last edition, 9 less than at the previous edition,
  • Royal Institute of Technology (152 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • University of Science and Technology Beijing (115 papers) published 5 papers at the last edition, 4 less than at the previous edition,
  • Pennsylvania State University (67 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Max Planck Society (65 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 8.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.79% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.89% of all publications and 28.42% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • The phase equilibria of the Cu–Cr–Ni and Cu–Cr–Ag systems: Experimental investigation and thermodynamic modeling

    Chengliang Qiu;Biao Hu;Jiaqiang Zhou;Peilu Wu

    (2020)
    34 Citations
  • Thermodynamics and its prediction and CALPHAD modeling: Review, state of the art, and perspectives

    (2023)
    33 Citations
  • A novel approach to calculate diffusion matrix in ternary systems: Application to Ag–Mg–Mn and Cu–Ni–Sn systems

    Changfa Du;Zhoushun Zheng;Qianhui Min;Yong Du

    (2020)
    30 Citations
  • DFTTK: Density Functional Theory ToolKit for high-throughput lattice dynamics calculations

    Yi Wang;Mingqing Liao;Brandon J. Bocklund;Peng Gao

    (2021)
    26 Citations
  • Computational design of V-CoCrFeMnNi high-entropy alloys: An atomistic simulation study

    Won-Mi Choi;Jin-Soo Kim;Won-Seok Ko;Dong Geun Kim

    (2021)
    24 Citations
  • A method for handling the extrapolation of solid crystalline phases to temperatures far above their melting point.

    Bo Sundman;Ursula R. Kattner;Mats Hillert;Malin Selleby

    (2020)
    23 Citations
  • Genomic Materials Design: CALculation of PHAse Dynamics

    (2023)
    22 Citations
  • Thermodynamic coupling in the computation of dendrite growth kinetics for multicomponent alloys

    (2022)
    21 Citations
  • Description of the thermodynamic properties of pure gold in the solid and liquid states from 0 K

    A.V. Khvan;I.A. Uspenskaya;N.M. Aristova;Q. Chen

    (2020)
    21 Citations
  • Thermodynamic reassessment of the Mo–Hf and Mo–Zr systems supported by first-principles calculations

    (2020)
    20 Citations

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