Key Metrics
Journal Specifications
- PublisherNATURE PORTFOLIO
- LanguageEnglish
- FrequencyContinuous publication
- Article Processing ChargesEUR 2690 | USD 3190 | GBP 2390
- Publication Time6
- Editorial Review ProcessAnonymous peer review
- LanguageEnglish
- Society/Institute/SponsorShanghai Institute of Ceramics, Chinese Academy of Sciences (SICCAS)
- FrequencyContinuous publication
- Publication Start Year2015
- Website URL
- Plagiarism
- Publication Time6
- Waiver Policy
- Editorial Team
- Review ProcessAnonymous peer review
- Review Url
- Author instructions
- Copyright Details
- Deposit PolicySherpa/Romeo
- License typeCC BY
- OA statement
Months | % Papers published |
---|---|
0-3 | 2% |
4-6 | 48% |
7-9 | 38% |
>9 | 11% |
Topics Covered
Recently Published Papers
FAQs
Since when has npj Computational Materials been publishing? ![Faqs](assets/images/arrow-down.svg)
The npj Computational Materials has been publishing since 2015 till date.
How frequently is the npj Computational Materials published? ![Faqs](assets/images/arrow-down.svg)
npj Computational Materials is published Continuous publication.
Who is the publisher of npj Computational Materials? ![Faqs](assets/images/arrow-down.svg)
The publisher of npj Computational Materials is NATURE PORTFOLIO.
How can I view the journal metrics of npj Computational Materials on editage? ![Faqs](assets/images/arrow-down.svg)
For the npj Computational Materials metrics, please refer to the section above on the page.
What is the eISSN and pISSN number of npj Computational Materials? ![Faqs](assets/images/arrow-down.svg)
The eISSN number is 2057-3960 and pISSN number is 2057-3960 for npj Computational Materials.
What is the focus of this journal? ![Faqs](assets/images/arrow-down.svg)
The journal covers a wide range of topics inlcuding Density functional theory, Crystal structure, Active learning, Phonon, Material properties, Machine learning, Simulation, Synthetic data, Semiconductor, Perovskite, Raman spectroscopy, Oxide, Exchange interaction, Monolayer, Thermal conductivity, Taylor series, Phase transition, Surrogate model, Deep learning, Molecular dynamics.
Why is it important to find the right journal for my research? ![Faqs](assets/images/arrow-down.svg)
Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.
Can the choice of journal affect my academic career? ![Faqs](assets/images/arrow-down.svg)
Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.
Is it advisable to target high-impact journals only? ![Faqs](assets/images/arrow-down.svg)
While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.