SCIESCOPUSQ1
npj Computational Materials
NATURE PORTFOLIO, United Kingdom
npj Computational Materials is an academic journal published by NATURE PORTFOLIO (United Kingdom). Identifiers: eISSN 2057-3960. Indexed in SCIE, SCOPUS. Metrics: JIF 11.9, CiteScore 16.3, SJR 2.835, SNIP 2.44. Subject areas: CHEMISTRY, MATERIALS SCIENCE, MATERIALS SCIENCE, MULTIDISCIPLINARY, MULTIDISCIPLINARY. tlooto lists 2,776 papers from this journal.
CiteScore
16.30
Scopus citation metric
SJR
2.835
SCImago rank
SNIP
2.44
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- -
- eISSN
- 2057-3960
- Abbreviation
- NPJ COMPUT MATER
- Publisher
- NATURE PORTFOLIO
- Country
- United Kingdom
Web of Science categories
SCIECHEMISTRY, MATERIALS SCIENCE, MULTIDISCIPLINARY, PHYSICAL
Scopus ASJC categories
17062211 Mechanics of Materials2500 General Materials Science2611 Modeling and Simulation
Keywords
Chemistry, Physical | Materials Science, Multidisciplinary
Papers in this journal
Recent papers
- Reply to: An explanation for the Rule of Four in Inorganic Materials
2026
- Composition-dependent dislocation mobility in FeNiCrCoCu high-entropy alloys based on atomistic simulations and machine learning analysis
2026 · 1 citations
- Element mapping-based Bayesian optimization framework enabling direct materials design: a case study on NASICON-type cathode materials
2026
- A possible explanation for the Rule of Four in Inorganic Materials
2026
- Interpretable deep learning for atomicity classification of platinum nanoclusters in STEM images
2026
Most cited papers
- Recent advances and applications of machine learning in solid-state materials science
2019 · 2,075 citations
- Review on modeling of the anode solid electrolyte interphase (SEI) for lithium-ion batteries
2018 · 1,327 citations
- Recent advances and applications of deep learning methods in materials science
2021 · 964 citations
- Precision and efficiency in solid-state pseudopotential calculations
2018 · 811 citations
- Atomistic Line Graph Neural Network for improved materials property predictions
2021 · 729 citations