Journal of Artificial Intelligence for Materials Science (JAIMS) is an international, peer-reviewed scholarly journal dedicated to advancing research and innovation at the intersection of artificial intelligence and materials science. The journal provides a multidisciplinary platform for researchers, scientists, engineers, and industry professionals to disseminate high-quality scientific knowledge on the development and application of intelligent computational methods in materials research and engineering.
JAIMS publishes original research articles, review papers, and interdisciplinary studies focusing on the use of artificial intelligence, machine learning, data analytics, and computational techniques for materials discovery, design, characterization, modeling, and optimization. The journal promotes innovative approaches that accelerate materials development, improve predictive capabilities, and support the advancement of next-generation materials and technologies.
By fostering collaboration between materials scientists, data scientists, and engineers, JAIMS aims to contribute to the development of intelligent, efficient, and sustainable materials solutions for scientific and industrial applications worldwide.
Subjects: Materials Informatics Data-Driven Materials Design Computational Materials Science Materials Modeling and Simulation Predictive Modeling of Material Properties High-Throughput Materials Screening Digital Materials Engineering Artificial Intelligence in Materials Science Machine Learning for Materials Discovery Materials Characterization and Analysis AI-Assisted Materials Synthesis Smart Materials Nanomaterials Advanced Functional Materials Sustainable Materials Development
Editor-in-Chief
Professor Katsuhiko ARIGA
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Journal metrics can be a useful tool for readers, as well as for authors who are deciding where to submit their next manuscript for publication. However, any one metric only tells a part of the story of a journal’s quality and impact. Each metric has its limitations which means that it should never be considered in isolation, and metrics should be used to support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside other qualitative factors such as a journal’s aims & scope, its readership, and a review of past content published in the journal. In addition, a single article should always be assessed on its own merits and never based on the metrics of the journal it was published in.
Speed data is updated every six months, based on the prior six months. Speed data is only available where a journal has made more than 10 decisions of that type in the time period. Speed metrics are averages; some manuscripts will take longer than this. Citation metrics are updated annually mid-year. Please note that some journals do not display all of the following metrics.
Content accesses: the total number of times articles in the journal were viewed/downloaded by users of Institute for Advanced Materials Research Press.
Impact Factor: the average number of citations received by articles published in the journal within a two-year window. Only journals in the Clarivate Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile: the journal’s highest subject category ranking in the Journal Citation Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor: the average number of citations received by articles in the journal within a five-year window.
CiteScore (Scopus)†: the average number of citations received by articles in the journal over a four-year period.
CiteScore Best Quartile†: the journal’s highest CiteScore ranking in a Scopus subject category. Q1 = 25% of journals with the highest CiteScores.
SNIP (Source Normalized Impact per Paper): the number of citations per paper in the journal, divided by citation potential in the field.
SJR (Scimago Journal Rank): Average number of (weighted) citations in one year, divided by the number of articles published in the journal in the previous three years.
From submission to first decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision. Based on manuscripts receiving a first decision in the last six months. This includes manuscripts which are not sent for peer review (desk rejections). Manuscripts which are sent out for review can therefore have a significantly longer wait than this metric indicates.
From submission to first post-review decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision if it is sent out for peer review. Based on manuscripts receiving a post-review first decision in the last six months.
From acceptance to online publication: the average (median) number of days from acceptance of a manuscript to online publication of the Version of Record. Based on articles published in the last six months.
Acceptance rate: articles accepted for publication by the journal in the previous calendar year as percentage of all papers receiving a final decision.
ISSN: 3149-8957
Abbreviated Title: J. Artif. Intell. Mater. Sci.
Current Issue: Vol 5, Issue 1 (2026)
Index Copernicus
ABCD Journal Indexing
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