From empiricism to algorithms: The grand challenge of AI-augmented ceramic design

For hundreds of years, humans relied on experience, intuition, and incremental experimentation to drive scientific innovation. This empirical tradition built the foundation of our modern industries.

But the landscape has changed. We are now developing materials and technologies that are expected to operate under increasingly extreme conditions, from the radiation-filled core of a nuclear reactor to the cold depths of outer space. Scientists and engineers must optimize numerous material properties simultaneously to ensure proper performance while also keeping sustainability metrics in mind.

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