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Key improvements to 'miracle material' could challenge China's grip on solar power market: 'We think that there's a bigger market'

January 31, 2024

It has broken a world record in terms of efficiency.

United States Princeton University New Jersey Tamotsu Horiuchi Researchers At Princeton University Technical University Berlin

Source: yahoo.com

Deep Learning's Role in Phase Identification

November 20, 2023

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.

Tsunetomo Yamada Skyla Bailynov Skyla Baily Tokyo University Of Science Tokyo University Industry Focus

Source: azom.com

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Crystalline Material News Today

Key improvements to 'miracle material' could challenge China's grip on solar power market: 'We think that there's a bigger market'

Deep Learning's Role in Phase Identification

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