Computer Methods in Materials Science

Aims & Scope

Computer Methods in Materials Sciencepovides an international medium for the publication of studies related to various aspects of applications of computer methods in the broad area of materials science. Appropriate submissions to Computer Methods in Materials Science should enhance the communication between experimental materials research and computational work on both existing and new, advanced materials and their applications. It publishes articles of interest to materials researchers, engineers, specialists and other scientists involved with computational modelling of materials properties, phenomena, and processes. Beyond this, the journal covers the development of advanced computational methods in the fields of computational engineering, computational mechanics, computational fluid dynamics, bio and medical engineering, civil engineering, machine learning, artificial intelligence and optimization. Papers on methods to predict materials’ behaviour, properties, microstructure evolution or interactions with the environment during processing and exploitation can be submitted, as well. What distinguishes the journal, among other material science journals, is its strong computer science impact. Several Editorial Board members are computer science researchers, and novel contribution in modelling techniques and computational engineering is emphasized in the papers. CMMS is a member ofCrossRefthe citation-linking backbone for online publications. All Papers have registered digital object identifier DOI. CMMSis a member of Similarity Check (powered byiThenticate) to eliminate plagiarism and provide a high standard and quality peer-review process. CMMSis a member ofDirectory of Open Access Journals (DOAJ)a community-curated online directory that indexes and provides access to high quality, open access, peer-reviewed journals. Faculty of Metal Engineering and Industrial Computer Science,AGH University of Krakow,Mickiewicza 30 Av., 30-059, Kraków, Poland School of Mechanical

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Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

Subject Classification