Computational Materials Science

Computational Materials Science - ISSN 0927-0256
Source Normalized Impact per Paper (SNIP): 1.082 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.812 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 2.644 (2018) Impact Factor:
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, 2017)
5 Year Impact Factor: 2.668 (2018) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 171-185
Issues: 15 issues
ISSN: 09270256

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Description

Aims and Scope:

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.


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.