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They used a machine-learning model to predict the physical properties of each material. That is how they managed to narrow it down from millions of possibilitie
by LoganDark 3y ago
They used a machine-learning model to predict the physical properties of each material. That is how they managed to narrow it down from millions of possibilities and find something worth actually trying to synthesize.
- bee_rider 3y agoIt seems like a reasonable strategy. They have way too many candidates so it isn’t as if throwing away a bunch because the AI is misfiring would be a problem.