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Making quantum 'waves' in ultrathin materials

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

A team of researchers co-led by Berkeley Lab has observed unusually long-lived wavelike electrons called 'plasmons' in a new class of electronically conducting material. Plasmons are very important for determining the optical and electronic properties of metals for the development of new sensors and communication devices.

Journal: Nature Communications

Seeing the universe through new lenses

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

A new study by an international team of scientists revealed hundreds of new strong gravitational lensing candidates based on a deep dive into data collected for a US Department of Energy-supported telescope project in Arizona called the Dark Energy Spectroscopic Instrument. The study, published in The Astrophysical Journal, benefited from the winning machine-learning algorithm in an international science competition.

New research launched on airborne virus transmission in buildings

DOE/Lawrence Berkeley National Laboratory
Business Announcement

As society prepares to reopen indoor spaces and ease back into some sense of normalcy during the COVID-19 pandemic, a team of researchers at Lawrence Berkeley National Laboratory is launching a study of the risk of airborne transmission of viruses within buildings and how to mitigate those risks.

CUORE underground experiment in Italy carries on despite pandemic

DOE/Lawrence Berkeley National Laboratory
Business Announcement

As the COVID-19 outbreak took hold in Italy, researchers working on a nuclear physics experiment called CUORE at an underground laboratory in central Italy scrambled to keep the ultrasensitive experiment running and launch new tools and rules for remote operations.

Computer vision helps SLAC scientists study lithium ion batteries

DOE/SLAC National Accelerator Laboratory
Peer-Reviewed Publication

New machine learning methods bring insights into how lithium ion batteries degrade, and show it's more complicated than many thought.

Journal: Nature Communications
Funder: DOE/US Department of Energy

Study: could dark matter be hiding in existing data?

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

A new study, led by researchers at Berkeley Lab and UC Berkeley, suggests new paths for catching the signals of dark matter particles that have their energy absorbed by atomic nuclei.

Journal: Physical Review Letters

First direct look at how light excites electrons to kick off a chemical reaction

DOE/SLAC National Accelerator Laboratory
Peer-Reviewed Publication

The first step in many light-driven chemical reactions, like the ones that power photosynthesis and human vision, is a shift in the arrangement of a molecule's electrons as they absorb the light's energy. This subtle rearrangement paves the way for everything that follows and determines how the reaction proceeds. Now scientists have seen for the first time how the molecule's electron cloud balloons out before any of its atomic nuclei respond.

Journal: Nature Communications
Funder: Carnegie Trust for the Universities of Scotland, DOE/US Department of Energy

A new machine learning method streamlines particle accelerator operations

DOE/SLAC National Accelerator Laboratory
Peer-Reviewed Publication

SLAC researchers have developed a new tool, using machine learning, that may make part of the accelerator tuning process 5 times faster compared to previous methods.

Journal: Physical Review Letters

Machine learning tool could provide unexpected scientific insights into COVID-19

DOE/Lawrence Berkeley National Laboratory
Business Announcement

A team of materials scientists at Lawrence Berkeley National Laboratory -- scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes -- have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.

Picking up threads of cotton genomics

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

In Nature Genetics, a multi-institutional team including researchers at the US Department of Energy (DOE) Joint Genome Institute (JGI) has now sequenced and assembled the genomes of the five major cotton lineages. Studying the cotton genomes provides breeders with insights on crop improvements at a genetic level. The cotton genomes are available for comparative analysis on JGI's plant data portal Phytozome, a community repository and resource for plant genomes.

Journal: Nature Genetics
Funder: DOE/US Department of Energy

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