Digital Twins—virtual replicas of physical systems—are transforming how materials are developed, tested, and optimized. By leveraging real-time data, simulation models, and machine learning algorithms, digital twins enable researchers and manufacturers to predict material behavior, optimize performance, and reduce costs in material development and testing.

At the Global Conference on Materials Science and Advanced Manufacturing (MSAM – 2026), we explore the integration of digital twin technology in materials science to create more efficient, precise, and scalable material development processes.

We invite submissions and expert talks on:

• Introduction to Digital Twins in Materials Science: Understanding the fundamental concepts of digital twins and their role in simulating, testing, and predicting material properties before physical trials.

• Real-Time Data Integration for Material Testing: Using sensors and IoT technology to collect real-time data from physical samples and feed it into digital twin models to enhance accuracy and predictive power.

• Simulation of Material Behavior and Performance: Leveraging computational modeling to predict how materials will behave under different conditions, accelerating the materials testing process and reducing time-to-market.

• Optimizing Material Development with Digital Twins: Using digital twin simulations to identify the best material properties for specific applications, optimizing both the development process and end-product performance.

• Digital Twins in Structural Health Monitoring: Employing digital twins for monitoring the health of structures made from advanced materials, including composites, metals, and polymers, to predict failures and extend service life.

• Machine Learning and AI in Digital Twins for Materials: Integrating AI and machine learning with digital twin technology to predict material behavior and optimize designs in real-time, pushing the boundaries of materials innovation.

• Applications in Additive Manufacturing and 3D Printing: How digital twins are transforming additive manufacturing, allowing for more accurate modeling of material deposition, bonding, and post-processing in 3D printed materials.

• Digital Twin-Driven Sustainability in Materials Development: Reducing waste and improving the environmental footprint of materials production by simulating and optimizing processes through digital twins, contributing to greener manufacturing.

• Cross-Disciplinary Applications of Digital Twins in Materials Testing: Exploring how digital twins are being used across industries—such as aerospace, automotive, electronics, and energy—to test, optimize, and validate materials under real-world conditions.

• Challenges and Future Directions in Digital Twins for Materials Science: Addressing the challenges of scaling digital twin technology, including data management, integration of multi-source data, and creating standardized models for diverse materials.

Whether you’re working on improving material performance, reducing costs, or accelerating innovation through simulation, this session provides a platform to showcase how digital twin technology is revolutionizing the materials development lifecycle.

Join us at MSAM – 2026 in Rome to explore the future of materials science and testing through the lens of digital twin technology and simulation-based innovation.