A research team at the University of Central Florida used Machine Learning, aka Artificial Intelligence to optimize the materials used to make perovskite ...

Particle removal increased from 41% on hydrophilic smooth Si wafers to 98% on superhydrophobic Si-based nanotextured surfaces.

Materials scientists find inorganic compounds quench defects in perovskite-based solar cells and expand their tolerance of light, humidity and heat.

The new study may help guide the development and performance of solar photovoltaic farms.

This same material is used in the coating applied to the glass or clear plastic of touch screens, solar cells and light-emitting diodes.

Taxing carbon emissions would drive innovation and lead to improved energy efficiency, study finds

UMass researchers propose a new, data-driven approach that uses machine learning techniques and widely available satellite images to identify roofs that have the ...

Solar cells and light sensing technologies could be made more efficient by taking advantage of an unusual property due to deformations and defects ...

New low-cost, high-performance battery chemistry that could lead to scalable grid-level storage for wind and solar energy.

MIT researchers have found a way to increase silicon solar cell output by allowing a single photon to release two electrons in the ...

In a proof-of-concept paper, researchers detail a new approach for creating multi-junction solar cells using off-the-shelf components, resulting in lower cost, high-efficiency solar ...

Researchers bring diurnal and seasonal variations into the lab to test the performance of perovskite solar cells under realistic conditions.