期刊信息
Calphad
https://www.sciencedirect.com/journal/calphad
影响因子:
1.900
出版商:
Elsevier
ISSN:
0364-5916
浏览:
12839
关注:
0
征稿
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.
最后更新 Dou Sun 在 2024-07-16
相关期刊
CCF全称影响因子出版商ISSN
Calphad1.900Elsevier0364-5916
International Journal of Cartography0.400Taylor & Francis2372-9333
CryptographyMDPI2410-387X
aACM Transactions on Graphics9.5ACM0730-0301
StandardsMDPI2305-6703
BlockchainELSP2959-1260
Computational Mechanics3.700Springer0178-7675
Journal of Cultural Heritage3.500Elsevier1296-2074
Mathematics2.300MDPI2227-7390
bNeural Computation2.900MIT Press0899-7667
全称影响因子出版商
Calphad1.900Elsevier
International Journal of Cartography0.400Taylor & Francis
CryptographyMDPI
ACM Transactions on Graphics9.5ACM
StandardsMDPI
BlockchainELSP
Computational Mechanics3.700Springer
Journal of Cultural Heritage3.500Elsevier
Mathematics2.300MDPI
Neural Computation2.900MIT Press