Scientists in the United States developed a new anode for aqueous batteries. A working battery utilizing this anode, with seawater as an electrolyte, demonstrated impressive energy density, and remained stable after 1,000 hours of high current cycling. The group is already discussing the potential of their approach in large-scale manufacturing.
A U.S. research team has used machine learning to optimize material composition and predict the design strategies and performance of perovskite solar cells. The researchers analyzed 2,000 peer-reviewed perovskite publications and collected more than 300 data points.
A new test design from the University of Central Florida has challenged modules with different cell technologies. The results show advantages for the heterojunction modules tested. Here we discuss the new method with its designer.
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