This journal publishes research on computational materials science, focusing on the application of machine learning and molecular dynamics simulations for predicting material properties and phase stability. Articles cover topics such as alloy phase prediction, polymer matrix composites, and irradiation damage in metals.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Science (miscellaneous)Q1
Mechanics of MaterialsQ1
Physics and Astronomy (miscellaneous)Q1
Chemistry (miscellaneous)Q2
Computational MathematicsQ2
Materials Science (miscellaneous)Q2
Subject Classification
Web of Science Categories
Materials Science, Multidisciplinary
Scopus Categories
Computer Science (miscellaneous)Mechanics of MaterialsMaterials Science (miscellaneous)Computational MathematicsChemistry (miscellaneous)Physics and Astronomy (miscellaneous)
Research Topics (OpenAlex)
Microstructure and mechanical propertiesGraphene research and applicationsBoron and Carbon Nanomaterials ResearchMetal and Thin Film MechanicsMachine Learning in Materials Science