AI trained on pre-2018 data flags hydrogen catalysts found later
Researchers used AI trained only on scientific knowledge available before 2018 to identify promising hydrogen-production catalysts that were later confirmed in real experiments. The approach could speed up the search for efficient catalysts and other chemical processes.
- The model used only knowledge available before 2018
- AI predicted catalysts reported in later experiments
- The method could accelerate hydrogen production research
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