California relies on the Sierra Nevada snowpack for a significant portion of its water needs, yet little is understood of how changes in snowpack volume and timing will influence surface water and groundwater. Erica Woodburn is developing an advanced hydrologic model to see how climate change might affect the state’s watersheds in the future.
The “AR1K Smart Farm” project, a collaboration with the University of Arkansas and Glennoe Farms, brings together molecular biology, biogeochemistry, environmental sensing technologies, and machine learning in an effort to revolutionize agriculture and create sustainable farming practices that benefit both the environment and farms.
Researchers at Berkeley Lab identified thirdhand smoke, the toxic residues that linger on indoor surfaces and in dust long after a cigarette has been extinguished, as a health hazard nearly 10 years ago. Now a new study led by Biosciences’ Antoine Snijders, Jian-Hua Mao, and Bo Hang has found that it also increases lung cancer risk in mice.
While it may be the era of supercomputers and big data, without smart methods to mine all that data, it’s only so much digital detritus. Now researchers at Berkeley Lab and UC Berkeley have come up with a novel machine learning method that enables scientists to derive insights from systems of previously intractable complexity in record time.
Scientists have used experiments at Berkeley Lab to retrace the chemical steps leading to the creation of complex hydrocarbons in space. They showed pathways to forming 2-D, carbon-based nanostructures in a mix of heated gases.
Scientists have discovered a novel chemical state, first proposed about 90 years ago, that enables a high-performance, low-cost sodium-ion battery. The battery could quickly and efficiently store and distribute energy produced by solar panels and wind turbines across the electrical grid.
Building on methods they used to assess the impact of hurricanes Katrina, Gustav, and Rita on forests and tree mortality, a team has produced a rapid mapping of the disturbance intensity across Puerto Rico’s forests using satellite images combined with image processing techniques, and with the help of Google Earth Engine.
To help the University of California meet its Carbon Neutrality Initiative goals, a Lab team has released a report that suggests replacing natural gas with climate-friendlier options, so UC can be carbon neutral by 2025. The report is accompanied by a paper in Nature Climate Change. Both are part of the TomKat Carbon Neutrality Project.
Mathematicians developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the thousands of images used by typical machine learning methods, this approach “learns” much more quickly and requires far fewer images.
The dome has closed on the previous science chapters of the 4-meter Mayall Telescope in Arizona so that it can prepare for its new role in creating the largest 3-D map of the universe. This map could help to solve the mystery of dark energy, which is driving the accelerating expansion of the universe.