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.
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Can Strongly Lensed Type Ia Supernovae Resolve One of Cosmology’s Biggest Controversies?
Astrophysicists at Lawrence Berkeley National Laboratory (Berkeley Lab) and the Institute of Cosmology and Gravitation at the University of Portsmouth in the U.K. say strongly lensed Type Ia supernovae could help resolve a discrepancy in measurements of the universe’s accelerating expansion.
Wind and solar power could meet four-fifths of U.S. electricity demand, study finds
UCI, Caltech, Carnegie: Investment in greater storage, transmission capabilities needed
UCI oceanographers solve mystery of phytoplankton survival in nutrient-poor Pacific
Essential iron is hoarded and recycled by the climate-regulating aquatic plants
From Belgrade to Berkeley: A Postdoctoral Researcher’s Path in Particle Physics
After completing her Ph.D. thesis in calculating the mass of the W boson – a heavier-than-iron elementary particle that mediates one of the universe’s fundamental forces – physics researcher Aleksandra Dimitrievska is now testing components at Berkeley Lab for a scheduled upgrade of the world’s largest particle detectors.
Solving the Dark Energy Mystery: A New Assignment for a 45-Year-Old Telescope
Today, the dome closes 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.
Distant galaxy group contradicts common cosmological models, simulations
UCI, other astronomers find plane of dwarf satellites orbiting Centaurus A
Arctic lakes are releasing relatively young carbon, UCI-led study discovers
Findings paint less dire climate picture, as ancient emissions are more harmful
UCI scientists develop new chemical tool to study RNA structures inside cells
Innovation could advance pharmaceutical, cancer prevention research
Applying Machine Learning to the Universe’s Mysteries
Berkeley Lab physicists and their collaborators have demonstrated that computers are ready to tackle the universe’s greatest mysteries – they used neural networks to perform a deep dive into data simulating the subatomic particle soup that may have existed just microseconds after the big bang.
