2021年最新SCI期刊影响因子查询系统
COMPUTATIONAL MATERIALS SCIENCE 期刊详细信息
基本信息
期刊名称 | COMPUTATIONAL MATERIALS SCIENCE COMPUTATIONAL MATERIALS SCIENCE |
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期刊ISSN | 0927-0256 |
期刊官方网站 | http://www.journals.elsevier.com/computational-materials-science/#description |
是否OA | 否 |
出版商 | Elsevier |
出版周期 | Monthly |
始发年份 | |
年文章数 | 736 |
最新影响因子 | 3.572(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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工程技术3区 | MATERIALS SCIENCE, MULTIDISCIPLINARY 材料科学:综合3区 | 否 | 否 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 2.70 | 0.812 | 1.082 |
Mathematics Computational Mathematics |
18 / 139 | 87% |
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Computer Science General Computer Science |
37 / 204 | 81% |
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Physics and Astronomy General Physics and Astronomy |
43 / 215 | 80% |
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Engineering Mechanics of Materials |
80 / 352 | 77% |
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Chemistry General Chemistry |
97 / 371 | 73% |
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Materials Science General Materials Science |
123 / 439 | 71% |
补充信息
自引率 | 12.00% |
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H-index | 97 |
SCI收录状况 |
Science Citation Index
Science Citation Index Expanded |
官方审稿时间 | |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0927-0256%5BISSN%5D |
投稿指南
期刊投稿网址 | http://ees.elsevier.com/commat/ |
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收稿范围 | The aim of the journal is to publish papers that advance the field of computational materials science through the application of modern computational methods alone or in conjunction with experimental techniques to discover new materials and investigate existing inorganic materials, such as metals, ceramics, composites, semiconductors, nanostructures, 2D materials, metamaterials, and organic materials, such as polymers, liquid crystals, surfactants, emulsions, and also hybrid materials combining both inorganic and organic components such as polymer nanocomposites, nanocrystal superlattices or surfactant nanoparticle mixtures. Papers that report on the development of new methods or the enhancement of existing approaches are of interest. The scope of the journal includes: obtaining new or enhanced insights into material behavior, properties and phenomena, predicting structure-property relationships for new materials in conjunction with data informatics, novel capabilities of computational tools, technical software and shareware, or cyberinfrastructures. |
收录体裁 | Research articles |
投稿指南 | |
投稿模板 | |
参考文献格式 | |
编辑信息 |