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Department of Energy contractor Savannah River Nuclear Solutions (SRNS) said its Savannah River Site employees recently used an innovative method to ensure the integrity of radioactive material storag...
When machine-learning models are deployed in real-world situations, perhaps to flag potential disease in X-rays for a radiologist to review, human users need to know when to trust the model’s predicti...
By observing spin structure in “magic-angle” graphene, a team of scientists led by Brown University researchers have found a workaround for a long-standing roadblock in the field of two-dimensional el...
It’s estimated that mining, refining, and processing metals commonly used in construction, referred to as structural metals, contribute around three billion tons of CO2-equivalent emissions. And, alth...
Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to dia...
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy gri...
Lithium-air batteries were thought promising in the 1970s as a potential power source for electric vehicles, offering energy densities that rival gasoline and significantly surpass conventional lithiu...
An international, interdisciplinary research team of scientists has come up with a machine-learning method that predicts molecular behavior, a breakthrough that can aid in the development of pharmaceu...
A team of researchers from Georgia Institute of Technology and two other institutions has developed a new 3-D printing method to create objects that can permanently transform into a range of different...
Although scientists have been able to levitate specific types of material, a pair of UChicago undergraduate physics students helped take the science to a new level.Third-year Frankie Fung and fourth-y...
New research provides scientists looking at single molecules or into deep space a more accurate way to analyze imaging data captured by microscopes, telescopes and other devices.The improved method fo...
Precise control of an individual particle or molecule is a difficult task. Controlling multiple particles simultaneously is an even more challenging endeavor. Researchers at the University of Illinois...
An unfortunate reality for cybersecurity researchers is that real-world data for their research too often comes via a security breach. Now computer scientists have devised a way to let organizations s...
A team of scientists at the Wyss Institute for Biologically Inspired Engineering at Harvard University and the Harvard John A. Paulson School of Engineering and Applied Sciences has evolved their micr...
Censorship is one of the greatest threats to open communication on the Internet. Information may be censored by a user’s country of residence or the information’s desired destination. But recent studi...

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