How can machine learning help determine the best times and ways to use solar energy? This is what a recent study published in Advances in Atmospheric Sciences hopes to address as a team of researchers ...

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 ...

Japan's PXP Corp., a startup developing chalcopyrite and perovskite solar technologies, and Suntory Holdings, a Japanese brewing company, have started a one-year trial to investigate the performance ...

As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of photovoltaic (PV) power generation is critical for balancing energy demand and supply. A new study ...

Researchers from the Swiss Federal Institute of Technology Lausanne discovered perovskites with the perfect band gap for solar applications. By inculcating a machine-learning program, an advanced ...

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 ...

WESTMINSTER, Colo., Sept. 25, 2025 /PRNewswire/ -- Vermeer and Trimble® today announced the addition of the Trimble Groundworks machine control system to the Vermeer PD10R and PD25R remote control ...