The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

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 ...

One of the research lines of the group of the EHU-University of the Basque Country is seeking solutions to generate districts ...

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 ...

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% ...

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 ...

This industry-collaborative PhD project offers the opportunity to work at the intersection of machine learning, structural engineering and renewable energy to develop innovative and impactful ...