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Why Do We Need AI in R&D?

Why Do We Need AI in R&D?

April 7, 2025

The future of materials science is being shaped by AI, revolutionizing how researchers approach material discovery and design. Traditional trial-and-error methods are slow and resource-intensive, but AI is unlocking a new era—where discovery is faster, smarter, and more targeted than ever before.

This article explores how AI-enhanced quantum chemistry, machine learning-driven molecular simulations, and AI-powered inverse design are transforming the field. From batteries and hydrogen fuel cells to sustainable polymers and catalysts, Quantistry is building the tools to power this shift and bring next-generation materials to industry.

How is AI reshaping the future of materials? Read more to find out.

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