Abstract
Materials informatics merges materials science with AI and ML to accelerate discovery, reduce costs, and enable autonomous labs. This whitepaper explores how materials informatics is transforming materials discovery, addressing challenges around data quality, model generalization, and interdisciplinary Integration.
Tech Mahindra’s Makers Lab has played a key role in advancing this field through its ecosystem that leverages AI-powered data platforms and simulation tools to drive sustainable, high-impact innovations in materials research.
Key Insights
Traditional trial-and-error is too slow. AI-driven informatics accelerates discovery and enables self-driving labs for next-gen materials.
Makers Lab builds AI-powered platforms for data curation, simulation, and generative design, driving sustainable innovation.
Adaptive ML models guide experiments, reducing costs and uncovering breakthrough materials faster than traditional methods.