A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo.

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 ...

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

With the growing emphasis on sustainable development, the demand for environmentally friendly solvents in green chemical ...