Computer Methods in Material 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 Material 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.
Thematic scope:
applications of computer methods in material science.
Computer methods:
mesh-based techniques, mesh-free techniques, mean-field models, full-field models, soft computing, evolutionary computing, knowledge/experience extraction and management, agent technologies, message-passing and shared memory parallel simulation algorithms, cluster and grid implemented algorithms, pattern recognition and pattern processing, numerical methods, computer graphics, artificial intelligence.
Applications:
modelling of phenomena and processes, nano, micro, mezo and macro scale material analysis, computer simulation, control, optimization, computer-aided design of tools and technologies, design of materials, inverse analysis.
Materials:
metals, alloys, polymers, ceramics, composites, wood, functionally graded materials, nanomaterials, materials with memory etc.
Scientific disciplines:
metallurgy, materials science, applied computer science.
Classification of fields and disciplines of science:
information and communication technology
biomedical engineering
materials engineering
mechanical engineering
chemical sciences