Artificial Intelligence and Big Data in Materials Design and Manufacturing
As the materials science landscape evolves, the integration of artificial intelligence (AI) and big data is revolutionizing how we discover, design, and manufacture advanced materials. At the Global Conference on Materials Science and Advanced Manufacturing (MSAM – 2026), we spotlight this dynamic intersection to inspire collaboration between computational scientists, materials researchers, and manufacturing pioneers.
Artificial Intelligence and Big Data in Materials Design and Manufacturing highlights the transformative power of data-driven methodologies to accelerate innovation, optimize processes, and unlock new possibilities.
We invite submissions and expert talks on:
• Machine Learning for Materials Discovery: AI-driven approaches to predict material properties, design new compounds, and optimize material compositions at unprecedented speeds.
• Big Data Analytics in Materials Research: Leveraging large-scale experimental and simulation data to uncover hidden patterns, correlations, and new research directions.
• Inverse Design and Autonomous Materials Discovery: Creating materials with target properties using AI-powered inverse design techniques and autonomous experimentation.
• Digital Twins for Manufacturing: Virtual models of materials manufacturing processes to enable predictive maintenance, quality control, and real-time process optimization.
• AI-Enhanced Additive Manufacturing: Intelligent process monitoring, defect prediction, and optimization for 3D printing and advanced manufacturing techniques.
• High-Throughput Experimentation and Robotics: Automated laboratories and AI-driven experimental workflows that dramatically speed up materials innovation cycles.
• Challenges and Ethical Considerations: Addressing data biases, interpretability of AI models, and responsible AI use in critical materials applications.
Whether you're pioneering intelligent design algorithms, building AI frameworks for manufacturing, or developing the next generation of autonomous materials labs, this session provides a global platform to showcase your breakthroughs to an audience of world-leading scientists, engineers, and technologists.
Join us at MSAM – 2026 in Rome to lead the future of intelligent materials discovery and smart manufacturing.