Using machine learning, researchers at Penn State have tied low-magnitude microearthquakes to the permeability of subsurface rocks beneath the Earth, a discovery that could have implications for improving geothermal energy transfer.

Research could dramatically extend the lifetime of devices needed to turn hydrogen green.

After sitting dormant since the 1980s, the Pinyon Plain uranium mine began operating in January on the Kaibab National Forest in Arizona, about seven miles south of the Grand Canyon.

EPFL researchers show that using magnetic fields can boost electrocatalysis for sustainable fuel production by enhancing the movement of the reactants, which improves the efficiency of energy-related reactions.

EPFL researchers have used a genetic learning algorithm to identify optimal pitch profiles for the blades of vertical-axis wind turbines, which despite their high energy potential, have until now been vulnerable to strong gusts of wind.

Energy harvesting, an eco-friendly technology, extends beyond solar and wind power in generating electricity from unused or discarded energy in daily life, including vibrations generated by passing car engines or trains. 

With the evolution of artificial intelligence comes discussion of the technology's environmental impact. 

A research team led by the University of Massachusetts Amherst, in collaboration with the University of Alaska-Anchorage and Columbia University, has conducted the widest-ever hydrological tracer analysis of the Dry Andes region in Chile, Argentina and Bolivia, home to the majority of the world’s lithium deposits and other elements, such as copper, critical to the green energy transition away from oil and toward electricity.

Conditions that usually accompany the kind of intense hot and cold weather that strains power grids may also provide greater opportunities to capture solar and wind energy.

Pairing cryptocurrency mining – notable for its outsized consumption of carbon-based fuel – with green hydrogen could provide the foundation for wider deployment of renewable energy, such as solar and wind power, according to a new Cornell Engineering study.