Guest Editors
Prof. Shaojie Gu
Email: shaojie.gu@mech.kumamoto-u.ac.jp
Affiliation: Magnesium Research Center, Kumamoto University, Kumamoto, 860-0811, Japan
Homepage:
Research Interests: materials science, metal processing, microstructural optimization, light alloys
Prof. Yanhong Peng
Email: yhpeng@nagoya-u.jp
Affiliation: Department of Information and Communication Engineering
Homepage:
Research Interests: Soft robotics; Large language models; Wearable robotics; Brain–computer interface
Prof. Lusheng Wang
Email: wangls@cqut.edu.cn
Affiliation: School of Mechanical Engineering, Chongqing University of Technology, Chongqing, 400054, China
Homepage:
Research Interests: AI for science, material design, intelligent process optimization
Dr. Fujiang Yuan
Email: yuanfujiang@ctbu.edu.cn
Affiliation: College of Mechanical Engineering, Chongqing University of Technology, Chongqing, 400054, China
Homepage: en
Research Interests: Embodied Intelligence, Robot, Blockchain
Summary
The rapid advancement of computational modeling, artificial intelligence, and data-driven technologies has greatly accelerated progress in materials science and intelligent manufacturing. These technologies enable precise microstructural design, process optimization, and property prediction across the entire materials lifecycle—from alloy development and processing to performance evaluation and industrial application.
This Special Issue aims to explore recent advances in computational materials design, metal processing, and intelligent optimization of light alloys and advanced materials. It welcomes both theoretical and applied studies that leverage simulation, data analytics, and AI-driven methods to enhance efficiency, reliability, and innovation in materials processing and manufacturing systems.
By integrating computational science, materials engineering, and intelligent manufacturing, this Special Issue seeks to promote innovative approaches that bridge the gap between microstructure-level understanding and large-scale industrial applications—driving the next generation of smart materials and digital manufacturing.
Suggested Themes Include:
· Computational modeling and simulation for materials design and optimization
· Data-driven approaches in metal processing and forming
· Microstructural design and property prediction of light alloys
· AI-assisted materials informatics and knowledge discovery
· Intelligent process control and optimization in materials manufacturing
· Multiscale simulation and digital twins for materials engineering
· Data fusion and uncertainty quantification in computational materials science
· Sustainable and energy-efficient materials processing technologies
· analytics and process automation in manufacturing
· Integration of computational materials methods with industrial digitalization
Keywords
Computational Materials Science; Metal Processing; Microstructural Optimization; Light Alloys; Data-Driven Materials Design; Intelligent Manufacturing; Materials Informatics; Process Simulation; Alloy Development;
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