Computational Thermal Sciences: An International Journal Magazine cover
Computational Thermal Sciences: An International Journal

Publicou 6 edições por ano

ISSN Imprimir: 1940-2503

ISSN On-line: 1940-2554

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.5 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00017 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

Indexed in

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Finalidades e escopo

Computational Thermal Sciences is an international journal designed to provide a forum for the exposure and exchange of ideas, methods and results in computational heat and mass transfer, thermodynamics and fluid mechanics. Topics covered include but are not limited to: novel computational methods for direct and inverse problems, verification and validation, the laws of thermodynamics, thermal properties of substances, applied mathematical modeling, phase-change, single and multiphase flows, energy storage, biology, medicine, industrial apparatuses, heat engines, thermodynamic cycles, combustion, aerospace, environment, sustainability, thermal management, micro and nanoscale processes and ultra-fast heat transfer.

Papers on all aspects − both fundamental and applied − will be welcome: on the one hand the development of new mathematical methods and computational algorithms, artificial intelligence, machine learning and deep learning, and on the application of new or existing methods to the solution of practical problems in thermal sciences. Reports of experimental studies undertaken in conjunction with computational works are encouraged. In addition, review papers on relevant topics related to the journal scope are invited. The assessment of the accuracy of computational solutions through verification (examining and limiting errors associated with discretization and with the computational solution methods adopted) and validation (quantification of discrepancies between computational and experimental results) are essential parts of any computational study, and authors are expected to examine these aspects. Manuscripts not considering standard solution and code verification procedures, or with simple applications of commercial/freeware codes, will not be accepted.

Correspondence will be welcome on any aspect of the papers published.