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High-throughput Discovery of Catalysts for the Hydrogen Economy through Machine Learning

CORDIS · observation · Publication date unknown

High-throughput Discovery of Catalysts for the Hydrogen Economy through Machine Learning Hydrogen energy storage offers a unique combination of scalability, long-term storage, and portability, leading to the so-called hydrogen economy. The major challenge in the hydrogen economy is related to the production of hydrogen from water and the generation of energy by the oxidation of hydrogen into water. In this regard, the main objective of the project High-throughput Discovery of Catalysts for the Hydrogen Economy through Machine Learning (HighHydrogenML) is to develop a high-throughput strategy based on first principles calculations and artificial intelligence tools to discover intermetallic compounds whose catalytic activity can be tuned to reach an optimum catalytic performance for the Hydrogen Evolution Reaction (HER) and Oxygen Reduction Reaction (ORR) by means of elastic strain engineering. The successful completion of these objectives will provide unique

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recordType

award

status

SIGNED

region

EU

value

174222.96

unit

EUR