Artificial Intelligence and Materials Science are converging to boost discovery, design, and deployment of next-generation materials at previously unknown speed and accuracy. At the Material Science & Engineering World Conference 2026, the subject comes into focus, with examples of how data-driven tools and smart systems are revolutionizing old research paradigms and opening up new vistas in materials innovation.

The conference will include special sessions dedicated to the integration of AI, machine learning, and computational methods into the materials science lifecycle. Interdisciplinary domain experts will discuss state-of-the-art advancements in:

• AI-assisted materials discovery and optimization
• Property prediction machine learning models
• High-throughput screening and data mining
• Inverse design of materials and structures
• Digital twins and materials informatics
• Automation in synthesis and characterization
• Ethics, transparency, and explainability in AI for science

MSEWC 2026 will bring together materials scientists, data scientists, and engineers to showcase how Artificial Intelligence and Materials Science are building a smarter, faster, and more predictive future in research and development.