Digital technology for Materials Science and Processes Modelling

In an era dominated by artificial intelligence, digital technology has emerged as a pivotal backbone for the production, research, and development, as well as the application of steel materials. Enhancing the focus on the research, development, and deployment of digital technology within the steel sector is indispensable. It not only boosts production efficiency and elevates product quality but also propels innovation in steel materials. This approach is vital for accommodating evolving market demands, nurturing technological innovation and advancement in the industry, diminishing resource utilization, and mitigating environmental impact.

To champion and highlight the progress within this domain, we are inaugurating a specialized digitalization column designed to disseminate the latest research findings, in-depth case studies, and comprehensive reviews related to the implementation of digital technologies in the steel sector. We warmly welcome submissions that delve into the forefront of digital material modeling, data-centric production methodologies and advanced intelligent control systems. Our vision for this column is to become an indispensable asset and authoritative reference for the scientific community, researchers, and technical experts alike in the steel industry.

We extend a heartfelt invitation to specialized enterprises, academic institutions, and research organizations to contribute their discoveries, perspectives, and breakthroughs. Collectively, let us foster the exchange of knowledge and drive forward the advancement of digitization in steel materials. In this Research Topic we welcome articles addressing, but not limited to, the following themes:
• Fundamental theories of material digitization technology
• General-purpose digital applications in materials
• Design and optimization of material composition and processes
• Material computation and simulation modeling
• Material databases and AI in networked environments
• Methods for digital performance characterization and evaluation of materials
• High-throughput material computation and design
• Software applications and data analysis techniques in digitization
• Other areas related to material computation, data processing, and intelligent manufacturing in production