A groundbreaking study by researchers from Chongqing University and the Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, reveals that diatoms can transform lunar soil, boosting its water retention and nutrient levels to support robust plant growth. This breakthrough paves the way for sustainable agriculture in lunar habitats, offering a vital step toward humanity’s long-term survival and interplanetary exploration.

Examining the fallout from the mass extinction at the end of the Cretaceous Period, researchers found that the species that survived weren’t random.

Quaise Energy has moved out of the lab and into the field with the first demonstration of its novel drilling technique on a full-scale oil rig just outside of Houston. The company, formed only seven years ago, is on track to prove that clean, renewable geothermal energy could power the world, according to Carlos Araque, CEO of Quaise and a co-founder.

A new study led by the University of Oxford has finally confirmed the theory that the cause of extraordinary global tremors in September - October 2023 was indeed two mega tsunamis in Greenland that became trapped standing waves.

Using a brand-new type of satellite altimetry, the researchers provide the first observations to confirm the existence of these waves whose behaviour is entirely unprecedented.

The findings have been published today (3 June) in Nature Communications.

Along with nutrients like nitrogen and phosphorus, iron is essential for the growth of microscopic phytoplankton in the ocean. However, a new study led by oceanographers at the University of Hawai‘i at Mānoa revealed that iron released from industrial processes, such as coal combustion and steel making, is altering the ecosystem in the North Pacific Transition Zone, a region just north of Hawai‘i that is important for fisheries in the Pacific.

A team led by Virginia Tech graduate student Samuel Daramola developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, to offer a faster, low-cost tool for flood forecasting.