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April 22, 2026Carbon Neutral SystemsOpen Access

Advances of artificial intelligence applications to low-carbon metallurgy of iron and steel

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Authors

XSXidi ShangWYWuliang YinJPJianxin Pan

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Overview

Global advancements enhance low-carbon production in steelmaking, suggesting sustainable improvements.

Key Points

  • The aim is to explore how artificial intelligence can improve low-carbon metallurgy in steel production.
  • Synthesis of AI applications across the steelmaking production chain.
  • Focus on sensing, process modeling, and optimization.
  • Alignment with decarbonization pathways and industrial practices.
  • Improvements in product quality and yield observed.
  • Significant reductions in energy intensity and emissions recorded.
  • Future advancements hinge on enhanced data infrastructure and modeling.

Cite This Study

Shang et al. (2026) studied this question.

synapsesocial.com/papers/69e8661d6e0dea528ddea8bahttps://doi.org/10.1007/s44438-026-00028-0
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