Journal of Computational Intelligence in Materials Science


Aim and Scope


Journal of Computational Intelligence in Materials Science (JCIMS) provides a forum for advance in-depth understanding of the relationship between computational intelligence structure including synthesis, structure, mechanical, chemical, electronic, magnetic, and optical properties, and functions of all kinds of materials.


JCIMS aims to address solutions to current engineering problems in which computational materials, artificial intelligence methods, numerical techniques, expert systems, genetic algorithms, neural networks, process system design, engineering/materials/technological design, materials databases, computer-aided materials selection/design/manufacturing, computer-integrated material processing, casting, powder metallurgy, welding, sintering, plastic deformation of the relationship between all kinds of materials.

JCIMS publishing spotlights, reviews, original research contributions, and short communications.

Topical areas for consideration include, but are not limited to

  • Computational Intelligence Design and Applications
  • Materials Data Acquisition, Standardization, and Database Construction
  • Machine Learning and Statistical Learning of Materials Data
  • Power Electronics and Embedded Systems
  • New Techniques for Materials Fabrication, Characterization, and Manufacture
  • Wireless Sensors, Device Performance, Reliability, Privacy, and Security
  • Materials Research, Theory, Experiment, Computation, and Artificial Intelligence
  • Neuron-Electronics, Neurofeedback and Neural Rehabilitation
  • Energy Technology, Energy Utilization and Conversion
  • Renewable and Sustainable Energy Technologies
  • Engineering, Structural Materials and Biomaterials
  • Advanced Materials In Waste and Pollution Management
  • Catalysis for Petroleum, Polymer and Chemical Processing Sector
  • Materials for Green Technology and Catalysis
  • Catalysis for Petroleum, Polymer and Chemical Processing Sector

Bibliographic information

Frequency: Continuous

ISSN (Online) : 2959-832X

ISSN (Print) : XXXX-XXXX

Doi: 10.53759/832X


Open Access

Journal of Computational Intelligence in Materials Science (JCIMS) is an open access journal. All articles are immediately available to read and reuse upon publication. More information about our Open Access policy can be found on our Open Access Policy page.


Contact

Editorial enquiries should be directed to jcims@anapub.co.ke.

General enquiries should be directed to help@anapub.co.ke.