Scientific Sessions

• Data-driven materials discovery
• Predictive modeling and materials informatics
• AI-assisted synthesis and characterization
• High-throughput simulations and optimization
• Integration of machine learning with experimental research
• Accelerated development of advanced materials

Artificial intelligence and machine learning are transforming Material Science and Nanotechnology by enabling data-driven discovery, accelerated experimentation, and predictive materials design. This session focuses on how AI-powered tools are reshaping Advanced Materials Research through the analysis of large experimental and simulation datasets. Participants will explore machine learning algorithms used to predict material properties, optimize compositions, and identify performance trends across complex material systems. Applications span a wide range of domains, including Nanomaterials & Nanotechnology, functional materials, energy materials, and structural systems, offering new pathways to reduce development time and cost while enhancing accuracy and innovation.

The session also highlights the growing role of AI in modeling microstructure–property relationships, phase prediction, and process optimization in Metallurgy & Alloys. Attendees will gain insights into integrating computational approaches with experimental workflows, enabling closed-loop materials development and intelligent manufacturing. Case studies will demonstrate how machine learning accelerates materials screening, improves reliability, and supports sustainable design strategies. By bridging computational science, experimental validation, and materials engineering, this session provides a comprehensive view of how AI is driving the next generation of breakthroughs in materials research and industrial applications.

Key Highlights

• AI-driven materials discovery and design
• Machine learning models for property prediction
• Data integration across experiments and simulations
• Intelligent optimization of alloys and nanomaterials
• Accelerated innovation in advanced materials systems

Why This Session Is Important?

AI-enabled materials research is redefining how materials are discovered and optimized. This session equips researchers and industry professionals with the knowledge to leverage intelligent tools for faster innovation, improved performance, and sustainable materials development.