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.
Thematic scope:
Applications of computer methods in a wide range of material science investigations focused on metals, alloys, multi-phase composites, nanostructures, etc.;
Applications of computer methods across a wide range of processing technologies, including forming and shaping, laser-based processing, and surface treatment, etc.
Multi‐scale simulations of materials (micro, meso, macro), including microstructural evolution under processing conditions (deformation mechanisms, heat treatment, thermo-mechanical treatment, etc.).
Application of computational and algorithmic methods (mesh-based techniques, meshless techniques, discrete modelling techniques, crystal plasticity, digital twins, simulation frameworks, etc.)
Use of artificial intelligence/machine learning/optimisation in materials design, process modelling, process control, quality monitoring, etc.
Development of advanced computational methods in the fields of computational engineering, computational mechanics, computational fluid dynamics, bio and medical engineering, civil engineering, etc.
Experimental/computational coupling: simulation calibrated with experiments.
Digitalisation of engineering/manufacturing systems, including industrial process optimisation, digital manufacturing infrastructure, and virtual/augmented reality solutions, etc.
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, machine learning, optimisaiton techniques, etc.
Applications:
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.
Materials:
metals, alloys, polymers, ceramics, composites, biomaterials, wood, functionally graded materials, nanomaterials, materials with memory etc.
Scientific disciplines:
Materials Science and Engineering, Industrial and Manufacturing Engineering, Mechanics of Materials, Modelling and Simulation, Mechanical Engineering, Artificial Intelligence, Chemical Engineering, Computer Science, Computer Vision and Pattern Recognition, Computer Science Applications, Civil and Structural Engineering, Biomedical Engineering
Classification of fields and disciplines of science:
Physical Sciences / Materials Science and Engineering
Physical Sciences / Industrial and Manufacturing Engineering
Physical Sciences / Mechanics of Materials
Physical Sciences / Modelling and Simulation
Physical Sciences / Mechanical Engineering
Physical Sciences / Artificial Intelligence
Physical Sciences / Chemical Engineering
Physical Sciences / Computer Science
Physical Sciences / Computer Vision and Pattern Recognition
Physical Sciences / Computer Science Applications
Physical Sciences / Civil and Structural Engineering
Physical Sciences / Biomedical Engineering