Journal of Computational Intelligence in Materials Science


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.

Most Recent

Nano-Antibacterial Materials as an Alternative Antimicrobial Strategy

Anandakumar H, Sri Eshwar College of Engineering, Coimbatore, India.

Pages : 045-055

DOI : 10.53759/832X/jcims202301005

Published On : April 28, 2023


Designing Material Structures and Standards Considering Customer Requirements

Xue Jiaxiang and Liu Zhixin, South China University of Technology, Guangzhou, China 510640.

Pages : 034-044

DOI : 10.53759/832X/jcims202301004

Published On : April 15, 2023


A Survey of Factors and Life Cycle Assessment in Selection of Green Construction Materials

Zheng Huijiang Wang, School of Mechanical Engineering, Tianjin University, Tianjin, China, 300072.

Pages : 023-033

DOI : 10.53759/832X/jcims202301003

Published On : April 08, 2023


A Critical Review of Nanoparticles and Nano Catalyst

Tian Chen and Davin Meng, Mechanical Engineering, Purdue University, West Lafayette, IN

Pages : 012-022

DOI : 10.53759/832X/jcims202301002

Published On : January 09, 2023