(ISSN 2689-5846)
Recent Progress in Materials (ISSN 2689-5846) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is devoted to publishing high-quality papers that describe the most significant and cutting-edge research in all areas of Materials. Its aim is to provide timely, authoritative introductions to current thinking, developments and research in carefully selected topics. Also, it aims to enhance the international exchange of scientific activities in materials science and technology.
Recent Progress in Materials publishes original high quality experimental and theoretical papers and reviews on basic and applied research in the field of materials science and engineering, with focus on synthesis, processing, constitution, and properties of all classes of materials. Particular emphasis is placed on microstructural design, phase relations, computational thermodynamics, and kinetics at the nano to macro scale. Contributions may also focus on progress in advanced characterization techniques.
Main research areas include (but are not limited to):
Characterization & evaluation of materials
Metallic materials
Inorganic nonmetallic materials
Composite materials
Polymer materials
Biomaterials
Sustainable materials and technologies
Special types of materials
Macro-, micro- and nano structure of materials
Environmental interactions, process modeling
Novel applications of materials
Publication Speed (median values for papers published in 2024): Submission to First Decision: 7.1 weeks; Submission to Acceptance: 14.9 weeks; Acceptance to Publication: 11 days (1-2 days of FREE language polishing included)
Special Issue
Application of AI in Development of New Materials
Submission Deadline: September 15, 2026 (Open) Submit Now
Guest Editors
Associate Professor, Niğde Ömer Halisdemir University, Faculty of Computer and Information Sciences, Department of Information Systems and Technologies, 51240 Niğde, Türkiye
Research Interests: Energy; heat transfer; artificial intelligence; artificial neural network; nanofluids
Professor, Govt. Post Graduate College, Department of Mathematics, Govt. Post Graduate College, Asghar Mall, Rawalpindi, Pakistan
Research Interests: Machine learning; artificial intelligence; mathematical models; numerical analysis; ODEs; PDEs

About This Topic
The integration of Artificial Intelligence (AI) into materials science is transforming the way new materials are discovered, designed, and optimized. Advanced AI techniques, including machine learning, deep learning, and data-driven modeling, enable researchers to predict material properties, accelerate experimental workflows, and explore vast compositional and structural spaces with unprecedented efficiency. This special issue aims to highlight cutting-edge research and innovative applications of AI in the development of metals, polymers, ceramics, composites, energy storage materials, functional coatings, and other advanced materials. Topics of interest include AI-driven material design, high-throughput screening, inverse design methods, property prediction, process optimization, and the integration of experimental and computational data. By bringing together contributions from academia and industry, this special issue will serve as a platform to advance the understanding and practical implementation of AI in materials development, fostering breakthroughs that can address global challenges in energy, sustainability, and technology.
Keywords
Artificial Intelligence, Machine Learning, Materials Discovery, Property Prediction, Materials Optimization, Artificial Neural Networks
Manuscript Submission Information
Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (rpm@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.
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