In 2018, Tian Xie was immersed in his doctoral studies at MIT, exploring the complex world of materials science and engineering. Midway through his PhD, a question began to take root—both in his mind and in conversations with peers: Can you build a model that takes constraints and criteria as input and generates a viable material as output?
Xie’s answer was a confident yes. But he couldn’t predict how swiftly this vision would materialize—or just how…
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https://www.microsoft.com/en-us/research/story/ai-meets-materials-discovery/