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Chemical Sleuthing Unravels Possible Path to the Formation of Life’s Building Blocks in Space

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.

Assessing the Impact of Hurricanes on Puerto Rico’s Forests

Building on methods they used to assess the impact of hurricanes such as Katrina, Gustav, and Rita on forests and tree mortality, scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) have produced a rapid mapping of the disturbance intensity across Puerto Rico’s forests with the help of Google Earth Engine.

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.

Scientists Confirm Century-Old Speculation on the Chemistry of a High-Performance Battery

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.

Imaging Flexible DNA ‘Building Blocks’ in 3-D

A team of researchers from Lawrence Berkeley National Lab (Berkeley Lab) and Ohio State University have generated 3-D images from 129 individual molecules of flexible DNA origami particles. Their work provides the first experimental verification of the theoretical model of DNA origami.

Berkeley Lab ‘Minimalist Machine Learning’ Algorithms Analyze Images From Very Little Data

Berkeley Lab mathematicians have 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 new approach “learns” much more quickly and requires far fewer images.

Berkeley Lab Report Calls for Industry Attention to Ensuring Grid Reliability

In light of changes in how electricity is being both generated and consumed, Lawrence Berkeley National Laboratory has written a new report analyzing challenges facing the nation’s electric grid and making recommendations for ensuring continued reliability.

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.

Scientists Discover ‘Chiral Phonons’ – Atomic Rotations in a 2-D Semiconductor Crystal

A research team has found the first evidence that a shaking motion in the structure of an atomically thin material possesses a naturally occurring circular rotation that could become the building block for a new form of information technology and molecular-scale machines.

Gene Enhancers Are Important Despite Apparent Redundancy

Scientists answered a long-standing question about the role of enhancers. And by better linking the genomic complement of an organism with its expressed characteristics, their work offers new insights that further the growing field of systems biology, which seeks to gain a predictive understanding of living systems.