当前位置: X-MOL首页SCI期刊查询及投稿分析系统 › Computational Materials Science杂志
Computational Materials Science
基本信息
期刊名称 Computational Materials Science
COMP MATER SCI
期刊ISSN 0927-0256
期刊官方网站 https://www.sciencedirect.com/journal/computational-materials-science
是否OA No
出版商 Elsevier B.V.
出版周期 Monthly
文章处理费 登录后查看
始发年份
年文章数 611
影响因子 3.1(2023)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术3区 MATERIALS SCIENCE, MULTIDISCIPLINARY 材料科学:综合3区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 6.5 0.741 0.961
Mathematics
Computational Mathematics
23/189 88%
Physics and Astronomy
General Physics and Astronomy
46/243 81%
Computer Science
General Computer Science
46/232 80%
Engineering
Mechanics of Materials
87/398 78%
Chemistry
General Chemistry
103/408 74%
补充信息
自引率 6.5%
H-index 97
SCI收录状况 Science Citation Index Expanded
官方审稿时间 登录后查看
网友分享审稿时间 数据统计中,敬请期待。
接受率 登录后查看
PubMed Central (PMC) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0927-0256%5BISSN%5D
投稿指南
期刊投稿网址 https://www.editorialmanager.com/commat/default.aspx
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, enhancement of existing approaches or significant technical computational advances are of interest.

Papers with a focus on simulations must contain new conceptual or computational advances. For example, molecular dynamics using standard force fields, ordinary techniques and reporting conventional average quantities will be rejected without review. Validation of non-first-principles methods and transferability of methods must be included as part of each submission. In-depth discussion of impact, physical properties, and motivation for the system under study is strongly recommended.

Studies including experimental data are of interest, but they must address a relevant theoretical/computational question. Papers that are deemed to be primarily experimental with some supporting theory will be returned without review.

Data-driven materials research and materials informatics has emerged as a powerful technique to complement traditional computational materials science. Consistent with established best practices in data science, it is important that data and code associated with materials informatics studies adhere to FAIR data principles by being Findable, Accessible, Interoperable, and Reusable. FAIR data access also ensures a robust peer review process where results can be reproduced by referees. In a few rare cases, some limitations may prevent the complete public sharing of code and data; for instance, when the data or code is subject to copyright or intellectual property. However, these cases should be rare and considered on a case-by-case basis.

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 methods and algorithms, technical software and shareware, or cyberinfrastructures.


Contributions are accepted in the form of critical reviews, articles, letters and perspectives. Occasional special issues will be organized around a particular theme and some of these will be guest edited.

Not all topics that potentially fall under the category of computational materials science will be considered; to find out more please visit the Guide for Authors.

Guide for Authors:

Research articles will be assessed based on originality, uniqueness and scientific merit. Manuscripts with significant overlap with existing reported works are likely to be inadmissible.
Not all topics that potentially fall under the category of computational materials science will be accepted. For example, submissions that emphasize small molecules or clusters, focus on the design of components for structural applications, describe performance of an electronic device, or characterize thermal or mass transport without extensive accompanying input and associated discussion from computational materials science methods are best suited for other specialized journals. Additionally, papers that focus on continuum mechanical responses of broad classes of materials are likely better suited for journals that specialize in the mechanics of materials. Papers on biomolecules, drugs, bone, or medical applications will not be considered. In addition, papers on materials such as asphalt, cement, concrete, and related materials will be rejected without review.
收录体裁
Research articles
投稿指南 https://www.sciencedirect.com/journal/computational-materials-science/publish/guide-for-authors
投稿模板
参考文献格式
编辑信息
Editor-in-Chief
Penn State Department of Materials Science and Engineering, 326 Steidle Building, University Park, Pennsylvania, 16802-7003, United States
Associate Editors
Jeffrey Hoyt

Jeffrey Hoyt

McMaster University, USA
Yanming MaJilin University, Changchun, China

Douglas Soares Galvao

State University of Campinas, Campinas, São Paulo, Brazil
French Alternative Energies and Atomic Energy Commission Saclay Center, Gif sur Yvette, France
Alex Travesset

Alex Travesset

Iowa State University, Ames, Iowa, United States
Editorial Board

Neil Allan

University of Bristol, Bristol, United Kingdom

Anna Balazs

University of Pittsburgh, Pittsburgh, Pennsylvania, United States

Gerard Barkema

Leiden University, Leiden, Netherlands

Olga Barrera

University of Oxford, Oxford, United Kingdom

Mathieu Bauchy

University of California Los Angeles, Los Angeles, California, United States
Massachusetts Institute of Technology, Cambridge, Massachusetts, United States

Shi-You Chen

East China Normal University, Shanghai, China

KJ Cho

University of Texas at Dallas, Richardson, Texas, United States

Stefano Curtarolo

Duke University, Durham, North Carolina, United States

Wenhui Duan

Tsinghua University, Beijing, China

Chu-Chun Fu

French Alternative Energies and Atomic Energy Commission Saclay Center, Gif sur Yvette, France

Julian Gale

Curtin University, Perth, Western Australia, Australia

Charles-André Gandin

ParisTech, Paris, France

Benny Gerber

Hebrew University of Jerusalem, Jerusalem, Israel

Olle G. Heinonen

Argonne National Laboratory Materials Science Division, Argonne, Illinois, United States

Tilmann Hickel

Max Planck Institute for Iron Research GmbH, Dusseldorf, Germany

Elizabeth Holm

Carnegie Mellon University, Pittsburgh, Pennsylvania, United States

Douglas Irving

North Carolina State University, Raleigh, North Carolina, United States
National University of Singapore, Singapore, Singapore

Hideaki Kasai

Osaka City University, Osaka, Japan

Michael Klein

Temple University, Philadelphia, Pennsylvania, United States

Dmitry Kopelevich

University of Florida, Gainesville, Florida, United States

Ashlie Martini

University of California Merced, Merced, California, United States

Steve Parker

University of Bath, Bath, United Kingdom

Shyue Ping Ong

University of California San Diego, La Jolla, California, United States

Giovanni Pizzi

Federal Polytechnic School of Lausanne, Lausanne, Switzerland
Bauhaus University Weimar Institute of Structural Mechanics, Weimar, Germany

Franz Roters

Max Planck Institute for Iron Research GmbH, Dusseldorf, Germany

Siqi Shi

Shanghai University, Shanghai, China

Douglas Spearot

University of Florida, Gainesville, Florida, United States

David Srolovitz

University of Pennsylvania Hillel, Philadelphia, Pennsylvania, United States

Edmund Tarleton

University of Oxford Department of Materials, Oxford, United Kingdom

Katsuyo Thornton

University of Michigan, Ann Arbor, Michigan, United States

Blas Pedro Uberuaga

Los Alamos National Laboratory, Los Alamos, New Mexico, United States

Axel van de Walle

Brown University School of Engineering, Providence, Rhode Island, United States

Su-Huai Wei

Beijing Computational Science Research Center, Beijing, China

Aihui Zhou

Chinese Academy of Sciences, Beijing, China


我要分享  (欢迎您来完善期刊的资料,分享您的实际投稿经验)
研究领域:
投稿录用情况: 审稿时间:  个月返回审稿结果
本次投稿点评:
提交
down
wechat
bug