Computer Methods in Materials Science

YIC2021, in collaboration with the journal Computer Methods in Materials Science (CMMS), offers the possibility to the conference participants to publish their contribution in the form of an Open Access publication.

The CMMS journal is publishing manuscripts without any APC (Article Processing Charge) and offers additional services, including language corrections by a native speaker.

Guest editors:

Dr. Carmen Rodrigo Cardiel, University of Zaragoza, Spain
Dr. Enrique Nadal Soriano. Polytechnic University of Valencia, Spain
Dr. Konrad Perzyński. AGH University of Science and Technology, Krakow, Poland

Aims and scope:

Computer Methods in Materials Science provides an international medium for the publication of studies related to various aspects of applications of computer methods in metallurgy and 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 metallurgical and materials researchers and engineers and to other scientists involved with computational modeling of materials properties, phenomena, and processes. Beyond this, the journal covers the development of advanced computational methods in the fields of computational engineering, artificial intelligence, optimization. Papers on methods to predict materials properties and microstructure evolution during processing can be submitted, as well. What distinguishes the journal, among other material science journals, is a strong computer science impact. Several Editorial Board members are computer science researchers, and novel contribution in modeling techniques and computational engineering is emphasized in the papers.

About the journal

CMMS is a member of CrossRef, the citation-linking backbone for online publications. All Papers have registered digital object identifier DOI. CMMS is also a member of Similarity Check (powered by iThenticate) to eliminate plagiarism and provide a high standard and quality peer-review process.

Website: www.cmms.agh.edu.pl

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