US EditionAI streamlines search for catalysts to clear hydrogen production hurdles
4 Articles
4 Articles
AI streamlines search for catalysts to clear hydrogen production hurdles
To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, associate professor in the Department of Chemical Engineering at Worcester Polytechnic Institute, is leveraging the power and potential of machine learning and computational modeling. The multi-university team she leads has completed a study that was just published in Nature Chemical Engineering. The study utilized artificial intelligence to i…
Using AI to Optimize Hydrogen Fuel Production and Reduce Environmental Impact: WPI Research Published in Nature Chemical Engineering - Hydrogen Central
Using AI to Optimize Hydrogen Fuel Production and Reduce Environmental Impact: WPI Research Published in Nature Chemical Engineering To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, associate professor in the Department of Chemical Engineering, is leveraging the power and potential of machine learning and computational modeling. The multi-university team she leads has completed a research st…
To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, an associate professor in the chemical engineering department of the Worcester Polytechnic Institute, is taking advantage of the power and potential of machine learning and computer modeling. Her multi-university team has completed a study that has just been published [...]
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