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Using Machine Learning to Find Reliable and Low-Cost Solar Cells

Researchers at the University of California, Davis College of Engineering are using machine learning to identify new materials for high-efficiency solar cells. Using high-throughput experiments and machine learning-based algorithms, they have found it is possible to forecast the materials’ dynamic behavior with very high accuracy, without the need to perform...

Researchers develop carbon-negative concrete

A viable formula for a carbon-negative, environmentally friendly concrete that is nearly as strong as regular concrete has been developed.  In a proof-of-concept work, the researchers infused regular cement with environmentally friendly biochar, a type of charcoal made from organic waste, that had been strengthened beforehand with concrete wastewater. The...