Materials informatics (MI) is reshaping the future of materials research and development. By harnessing the power of AI, machine learning, and data-driven strategies, MI accelerates the discovery, design, and optimization of materials like never before. As the global AI boom continues to dominate headlines, materials informatics is gaining unprecedented momentum—bringing success stories and groundbreaking innovations to the forefront.
Through the integration of smart data infrastructures, advanced optimization algorithms, and sophisticated statistical tools, researchers are not only developing new materials faster but also fine-tuning manufacturing processes and discovering tailored solutions for specific applications. There's no universal blueprint—varied and evolving strategies are driving competitive advantages for adopters.
- Overview of latest commercial developments in the field, including the impact of new industry interest in the age of AI
- Assessment of the different strategic approaches being adopted
- The key technology pillars required for a MI approach
- Industry pain points and a roadmap for the next 10 years