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28-Dec-2020
Machine learning trims tuning time for electron beam by 65 percent
DOE/US Department of Energy
Linear accelerator operators use computer algorithms to automate some parts of the machine tuning process. These algorithms make fast decisions, but they have not previously incorporated fundamental physics or learned from past mistakes. A new machine learning algorithm learns both from experience and physics simulations to reduce the time needed for a part of the machine tuning process by 65 percent.
28-Dec-2020
Charm quarks offer clues to confinement
DOE/US Department of Energy
Hadronization occurs when particles called quarks and gluons combine to form hadrons, composite subatomic particles made of two or three quarks. Once combined, quarks and gluons are 'confined,' or trapped, in hadrons. Researchers studying particles containing heavy 'charm' quarks have found that there are many more three-quark hadrons than expected under a widely accepted explanation of how hadrons can form.
28-Dec-2020
Kalyan R. Perumalla: Then and now / 2010 Early Career Award winner
DOE/US Department of Energy
Kalyan R S Perumalla is a Distinguished Research and Development Staff Member at Oak Ridge National Laboratory, whose work on reversible computing for exascale computers also provides insights applicable to next generation programming.
28-Dec-2020
First Person Science: Moh El-Naggar on electric bacteria
DOE/US Department of Energy
Unlike other organisms, 'electric bacteria' conduct the chemical reactions that pass along electrons outside of their cell walls instead of inside of them. Moh El-Naggar studies why and how individuals and groups of these bacteria can conduct this amazing process.
23-Dec-2020
Top Posts of 2020
DOE/US Department of Energy
From quantum computing to facemask filtering, the Office of Science supported a variety of research in 2020.
21-Dec-2020
Jeffrey Newman: Then and Now / 2010 Early Career Award Winner
DOE/US Department of Energy
Physics professor Jeffrey Newman at the University of Pittsburgh is improving the methods for calculating the distances and developing target strategies for Dark Energy Spectroscopic Instrument experiments. These activities are supporting the search for answers about dark energy.
11-Dec-2020
Bridging thBridging the model-data divide for elusive cloe Model-Data Divide for Elusive Clouds
DOE/US Department of Energy
Combining large-scale atmospheric models and observations is a long-standing challenge, in part because of the mismatch between different spatial and temporal scales. For example, shallow convective clouds are so small that typical atmospheric models cannot represent individual clouds. The Department of Energy's Large-Eddy Simulation Atmospheric Radiation Measurement Symbiotic Simulation and Observation activity seeks to bridge these scale gaps.
11-Dec-2020
Nate McDowell: Then and now / 2010 Early Career Award winner
DOE/US Department of Energy
Nathan McDowell, a staff scientist at the US Department of Energy's Pacific Northwest National Laboratory, used his 2010 Early Career Award to study how trees survive and die during drought because vegetation plays a major role in the global carbon cycle.
7-Dec-2020
The room-temperature superconductor arrives at last
DOE/US Department of Energy
For the first time since superconductivity was discovered in 1911, scientists have created the world's first superconductor that works at room temperature. To do so, they engineered a new material never before found on earth using a photochemical process to create a starting framework of hydrogen-rich materials. The finding has important implications for quantum computing and energy storage and production.