The paradigm shift of intelligent material design and development for fire safety: progress, challenges, and machine learning

Key Points

• Fire safety is advanced by machine learning techniques for improved material design and function.
• Significant progress includes novel intelligent materials that resist fire while enhancing structural integrity.
• Analysis of existing literature reveals challenges in integrating machine learning into material development processes.
• Support for this innovative approach could enhance fire safety regulations and building practices.