news, journals and articles from all over the world.
Lawrence Livermore National Laboratory scientists are contributing to the global fight against COVID-19 by combining artificial intelligence/machine learning, bioinformatics and supercomputing to help discover candidates for new antibodies and pharmaceutical drugs to combat the disease.
Black carbon particles — more commonly known as soot — absorb heat in the atmosphere. For years, scientists have known that these particles are having an effect on Earth’s warming climate, but measuring their exact effect has proved elusive.
Interacting contagious diseases like influenza and pneumonia—and perhaps coronavirus too—follow the same complex spreading patterns as social trends, like the adoption of new slang or technologies. This new finding, published in Nature Physics, could lead to better tracking and intervention when multiple diseases spread through a population at the same time.
Testing for Duchenne muscular dystrophy can require specialized equipment, invasive procedures and high expense, but measuring changes in muscle function and identifying compensatory walking gait could lead to earlier detection. This week in Chaos, researchers present a relative coupling coefficient, which can be used to quantify the factors involved in the human gait and more accurately screen for the disorder. They measured movements of different parts of the body in test subjects, viewing the body as a kinematic chain.
Gene mutations can interfere with how the body expresses genes and cause disease. To better understand this connection, researchers recently developed a model of the transcription preinitiation complex (PIC).
Researchers from TAE Technologies used the Argonne Leadership Computing Facility to support their fusion research. The company is working to develop the world’s first fusion device that can generate electricity and is commercially viable.
The U.S. Department of Energy (DOE) announced a plan to provide $10 million for new observational and experimental studies aimed at improving the accuracy of today’s Earth system models. Research will focus on three separate types of environments—terrestrial, watershed, and subsurface—where current models fall short of providing fully accurate representation.
NASA has a research grant with The University of Alabama in Huntsville (UAH) to model how a spacecraft might be engineered to work with nuclear thermal propulsion (NTP), en route to an eventual test flight.
The recent development of physiologic cell culture media, which models in vivo conditions, holds immense potential to improve understanding of human biology.
Computational scientists, biophysicists and statisticians from Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL) are leading a massive multi-institutional collaboration that has developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in many forms of cancers.
An international research group that included researchers from IIASA and Japan, identified biases towards some selected carbon budgets in the current scenario literature.
Understanding the formation and evolution of ice in astrophysical environments can provide information about the physical conditions encountered in space and the chemical similarities and differences between planetary and stellar systems. At the AVS 66th International Symposium and Exhibition, Edith Fayolle, an astrochemist at NASA’s Jet Propulsion Laboratory, will talk about how scientists are trying to understand properties of ice on astrophysical bodies, such as its formation, composition and sublimation — the process by which ice transitions directly into gas, without being in its liquid phase in between.
Electrocatalysts accelerate energy conversion, which is an integral component to many industrially important technologies, such as fuel cells. While many models show promising results to improving this approach, technologies to demonstrate a decrease in degradation to optimize performance are lacking. At the AVS 66th International Symposium and Exhibition, Serhiy Cherevko, a physicist at the Institute of Energy and Climate Research, will talk about the challenges facing current electrocatalysis techniques and possible analytical tools to optimize this approach for widespread commercialization.
The entry probe of the Galileo mission to Jupiter entered the planet’s atmosphere in 1995 in fiery fashion, generating enough heat to cause plasma reactions on its surface. The data relayed about the burning of its heat shield differed from the effects predicted in fluid dynamics models, and new work examines what might have caused such a discrepancy.
Researchers long wondered how the billions of independent neurons in the brain come together to reliably build a biological machine that easily beats the most advanced computers. All of those tiny interactions appear to be tied to something that guarantees an impressive computational capacity.
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