ISSN: 3149-9368
Abbreviated Title: J. Comput. Data-Driven Mater. Eng.
Current Issue: Vol 5, Issue 1 (2026)
The Journal of Computational and Data-Driven Materials Engineering (JCDME), ISSN: 3149-9368, is an international, peer-reviewed, open-access journal published by Institute for Advanced Materials Research Press. The journal focuses on computational, data-driven, modeling, simulation, optimization, and digital-engineering approaches in materials science and materials engineering.
JCDME provides an interdisciplinary platform for materials scientists, engineers, physicists, chemists, computational researchers, data scientists, manufacturing specialists, and industry professionals to publish research on the development, validation, integration, and practical application of computational and data-centric methods for engineering materials.
The journal covers subjects including Computational Materials Engineering, Materials Informatics, Data-Driven Materials Design, Computational Materials Science, Materials Modeling and Simulation, Multiscale Materials Modeling, Materials Data Analytics, Predictive Modeling of Material Properties, High-Throughput Materials Screening, Digital Materials Engineering, Integrated Computational Materials Engineering (ICME), Materials Optimization, Materials Characterization and Data Analysis, Digital Twin for Materials Systems, and Sustainable Materials Design.
JCDME publishes Original Research Articles, Review Articles, Systematic Reviews, Short Communications, Materials Engineering Case Studies, and Conceptual and Methodological Papers. Submissions must demonstrate a clear and substantial connection between computational methods, materials data, modeling, simulation, optimization, digital engineering, or integrated computational approaches and a relevant materials-science or materials-engineering problem.
Research published in JCDME may address computational materials design, process–structure–property–performance relationships, multiscale modeling, materials-data analytics, property prediction, high-throughput screening, digital manufacturing, integrated computational materials engineering, optimization, characterization-data analysis, digital twins, and sustainable materials systems.
The journal also welcomes studies concerning model verification and validation, uncertainty quantification, numerical accuracy, data quality, computational reproducibility, model interpretability, software and code availability, integration of simulations with experiments, industrial implementation, and the experimental validation of computational or data-driven predictions.
All manuscripts undergo an initial editorial assessment to determine their relevance to the journal’s aims and scope, academic quality, methodological clarity, originality, and compliance with publication ethics. Manuscripts considered suitable proceed to the journal’s double-blind peer-review process, in which the identities of authors and reviewers are concealed from one another.
Eligible manuscripts are normally evaluated by at least two qualified reviewers with relevant subject expertise. A minimum of two favorable reviews is generally required for publication, and an additional reviewer may be consulted where reviewer recommendations conflict or further specialist assessment is required. The final publication decision remains with the Editor-in-Chief or an authorized editor.
Editorial decisions are based on academic quality, originality, methodological soundness, computational and scientific validity, ethical compliance, clarity of reporting, relevance to the journal’s scope, and the significance of the manuscript’s contribution to computational and data-driven materials engineering.
All accepted articles are published open access and are made freely available online immediately upon publication in accordance with the journal’s open-access, copyright, and licensing policies.
Publication Schedule
The Journal of Computational and Data-Driven Materials Engineering is published biannually, with two issues per year.
Editor-in-Chief
Professor Eleni N. Chatzi
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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 Access: 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.
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