Key improvements to 'miracle material' could challenge China's grip on solar power market: 'We think that there's a bigger market'
It has broken a world record in terms of efficiency.
Source: yahoo.com
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Deep Learning's Role in Phase Identification
In a pioneering move, Tokyo University of Science has made a remarkable stride in material science. Their latest development involves a deep learning model adept at pinpointing new quasicrystalline phases in multiphase crystalline materials, a feat previously mired in complexity and time constraints.
Source: azom.com