npj Computational Materials
Brief Name:
NPJ COMPUT MATER
Impact factor:
9.4 (2023)
ISSN:
2057-3960
Home Page:
Open Access:
Yes
Publisher:
Nature Publishing Group
Article Processing Charge:
€2790 EUR/$3290 USD/£2490 GBP
Publication Start Year:
2015
Annual Articles:
220
Self-citation Rate:
4.3%
Chinese Academy of Sciences SCI Journal Classification:
Major category | Minor category | TOP journal | Review journal |
---|---|---|---|
Q1 ENGINEERING TECHNOLOGY |
PHYSICOCHEMICAL | Yes | No |
Subject Classification:
CHEMISTRY, PHYSICAL
CiteScore:
CiteScore | SJR | SNIP | CiteScore ranking | ||||||
---|---|---|---|---|---|---|---|---|---|
15.3 | 2.447 | 2.017 |
|
H-Index:
16
SCI Index Status:
Science Citation Index Expanded
Official Review Time:
Submission to first editorial decision (median days): 11
Submission to acceptance (median days): 181
PubMed Central:
Submission Site:
Aims and Scope:
npj Computational Materials considers research that explores all aspects of applied computational approaches for the design of new materials, and for enhancing our understanding of existing materials.
Topics covered by the journal include:
Theoretical and simulation approaches for studying both organic and inorganic materials
Emerging materials and technologies, including sustainable materials
Prediction of material structure and properties
Exploration of materials fundamentals, behaviors, degradation, and properties
Integrative studies combining computational findings with experimental validation to examine behavior of materials
High-throughput methods, both computational and experimental, for generating large datasets and materials data mining
Design of materials using machine learning and artificial intelligence
Development of methods and fundamental theory for materials modelling and informatics
The journal offers more choice to Nature Portfolio authors who are seeking a fully open-access and more inclusive platform for publishing their work. The journal is led by computational materials experts who collaborate to cultivate high-quality research. As part of the npj Series, this journal focuses on fostering global partnerships with the research community and other Springer Nature journals.
Topics covered by the journal include:
Theoretical and simulation approaches for studying both organic and inorganic materials
Emerging materials and technologies, including sustainable materials
Prediction of material structure and properties
Exploration of materials fundamentals, behaviors, degradation, and properties
Integrative studies combining computational findings with experimental validation to examine behavior of materials
High-throughput methods, both computational and experimental, for generating large datasets and materials data mining
Design of materials using machine learning and artificial intelligence
Development of methods and fundamental theory for materials modelling and informatics
The journal offers more choice to Nature Portfolio authors who are seeking a fully open-access and more inclusive platform for publishing their work. The journal is led by computational materials experts who collaborate to cultivate high-quality research. As part of the npj Series, this journal focuses on fostering global partnerships with the research community and other Springer Nature journals.
Submission Guidelines:
Types of Articles Accepted:
Article, Brief Communication, Comment, Editorial, Matter Arising, Perspective, Review
Reference Citations Format:
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This page displays information about journals or magazines for reference and study purposes only. It is not the official website of any journal or magazine and does not involve publishing matters. Users must verify any publishing-related inquiries directly with the publisher.
If there are any issues with the content displayed on this page, please contact us at: [email protected], and we will verify and address the matter diligently.