A new study led by Berkeley Lab has provided the first physical evidence that warmer temperatures lead to a significant drop in the stored carbon stock in deep forest soils. An experiment in California’s Sierra Nevada forest found that the carbon content in subsoils dropped 33% over five years. The research team, led by Margaret
As more U.S. states and countries legalize medical and recreational marijuana, consumers are increasingly turning to new types of products that avoid toxic smoke inhalation. Researchers at Berkeley Lab who previously identified potentially harmful emissions from electronic cigarettes are now identifying the potential health risks of vaping cannabis.
Berkeley Lab scientist Antoine Snijders helped test a new sanitizing device that appears promising for disinfecting personal protective equipment so that it can be reused longer, which could reduce cost and ease supply chain strain.
An international research team led by scientists at Stanford University and SLAC National Accelerator Laboratory developed a new apparatus at Berkeley Lab’s Advanced Light Source (ALS) that could help improve the efficiency of hydrogen fuel generation.
A UC Berkeley-led research team in collaboration with Berkeley Lab has discovered a way to simplify the removal of toxic metals, like mercury and boron, during desalination to produce clean water, while at the same time potentially capturing valuable metals, such as gold.
Technology developed at Berkeley Lab and UC Berkeley shows a big drop in infant mortality in Rwanda hospitals.
Berkeley Lab has developed a cuff-based technology to monitor both endothelial function and endothelium-independent vasodilation. Studies on human subjects have verified that the cuff-based method is 37% more sensitive to arterial relaxation than brachial artery imaging.
Researchers from MIT, Oxford, Arizona State, JPL, and Berkeley Lab detected the signatures of ancient magnetic fields imprinted in a meteorite’s ferromagnetic grains at Berkeley Lab’s Advanced Light Source (ALS).
An X-ray instrument at Berkeley Lab’s Advanced Light Source contributed to a battery study that used an innovative approach to machine learning to speed up the learning curve about a process that shortens the life of fast-charging lithium batteries.
Researchers from Caltech, UC Berkeley, and the Berkeley Synchrotron Infrared Structural Biology Imaging Program (BSISB) reported a more efficient way to collect “high-dimensional” infrared images – where each pixel contains rich physical and chemical information. The microscopy experiments were carried out at Berkeley Lab’s Advanced Light Source.