Computer Methods in Material Science povides 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.
applications of computer methods in a wide range of material science investigations.
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, machine learning, optimisaiton techniques, etc.
nano/micro/mezo and macro scale analysis of a wide range of materials (engineering, biomaterials, medical materials), development of new materials, modelling of phenomena and processes, computer simulation, control, optimization, computer-aided design of tools and technologies, design of materials, inverse analysis.
metals, alloys, polymers, ceramics, composites, biomaterials, wood, functionally graded materials, nanomaterials, materials with memory etc.
materials science, metallurgy, computational engineering, computational mechanics, computational fluid dynamics, bio and medical engineering, civil engineering, applied computer science.
Classification of fields and disciplines of science:
information and communication technology