Scientific Sessions

• Computational modeling of materials at atomic and molecular levels
• AI and machine learning applications in materials discovery
• High-throughput simulations for property prediction
• Data-driven design of nanomaterials and composites
• Integration with experimental and characterization techniques
• Optimization of materials for energy, healthcare, and electronics
• Interdisciplinary approaches combining computation and fabrication

Computational Materials Science and AI Driven Design harness the power of Material Science and Nanotechnology to accelerate materials discovery and optimization. This session emphasizes Advanced Materials Research through simulation and predictive modeling to explore nanoscale phenomena and design materials with tailored properties. Participants will examine Nanomaterials & Nanotechnology strategies that leverage AI and machine learning for high-throughput screening, structure-property correlation, and efficient material selection. Metallurgy & Alloys play a crucial role in integrating computational predictions with experimental fabrication, enabling stronger, more reliable materials for industrial applications.

Attendees will gain insights into how AI-driven design and computational modeling reduce trial-and-error in research, streamline materials development, and enhance the performance of nanomaterials. The session explores integration with experimental techniques, multiscale modeling, and predictive analytics for energy storage, electronics, and biomedical materials. By incorporating Material Science and Nanotechnology, Advanced Materials Research, Nanomaterials & Nanotechnology, and Metallurgy & Alloys, participants are equipped to drive innovation and efficiency in designing next-generation materials for a variety of cutting-edge applications.

Key Highlights

• AI-driven materials discovery and predictive modeling
• High-throughput computational screening of nanomaterials
• Integration of computational and experimental methods
• Metallurgical design for material optimization
• Application in energy, electronics, and healthcare

Why This Session Is Important?

Computational design accelerates material innovation while reducing experimental costs. This session empowers researchers to apply AI and modeling tools to develop high-performance materials efficiently.