Materials research relies on intuition-driven exploration, where chemists and engineers tweak tiny elements in compositions or processes and then wait to see the result. This approach is powerful – but slow.
Add to this the millions of variables and possibilities in chemistry, structure, and processing, and it is little wonder R&D takes several years to decades to produce successful outcomes.
AI and machine learning stand to transform this process.
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