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Turning COâ‚‚ into methanol: Multilayer machine learning speeds up search for better catalysts
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
One of the research lines of the group of the EHU-University of the Basque Country is seeking solutions to generate districts ...
The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...
A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...
Engineering Smart and Sustainable Systems Using Artificial Intelligence, Advanced Materials, and Renewable Energies publishes with Springer as part of the prestigious Engineering Materials series, a ...
EPFL researchers developed optimal pitch profiles for vertical-axis wind turbines using a genetic learning algorithm. The new pitch profiles resulted in a 200% increase in turbine efficiency and a 77% ...
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