The work was supported by Descartes Labs https://descarteslabs.com/, who provided the cloud computation infrastructure, and World Resources Institute, who provided ...
An inventory of the world’s solar-panel installations has been produced with the help of machine learning, revealing many more than had previously been recorded. The results will inform efforts to ...
Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...
A group of investors including Statkraft Ventures has invested US$3 million in software-as-a-service (SaaS) company Glint Solar and its site identification technology for both ground mount and ...
Researchers at Sweden's Uppsala University have applied deep machine learning to automatically identify photovoltaic and solar-thermal systems in aerial imagery and said their work yielded mixed ...
A recent study in Scientific Reports presented a graphene-based metamaterial as a solar absorber. The structure consisted of three layers: aluminum (Al) as the resonator, titanium nitride (TiN) as the ...
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