仕訳帳情報
Calphad
https://www.journals.elsevier.com/calphad/
インパクト ・ ファクター:
2.017
出版社:
Elsevier
ISSN:
0364-5916
閲覧:
7731
追跡:
0
論文募集
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. 
最終更新 Dou Sun 2022-01-29
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完全な名前インパクト ・ ファクター出版社
International Journal of Cartography Taylor & Francis
Bioscience & Engineering: An International JournalAIRCC
ACM Transactions on Graphics ACM
IEEE Internet of Things MagazineIEEE
Journal of Cultural Heritage2.955Elsevier
Computational Mathematics and Modeling Springer
Brain Sciences3.332MDPI
International Journal of Health Geographics3.918Springer
Neural Computation1.884MIT Press
Computers & Graphics1.936Elsevier
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