Two-dimensional materials, which consist of a single layer of atoms, exhibit unusual properties that could be harnessed for a wide range of quantum and microelectronics systems. But what makes them truly special are their ...
Nanomaterials
Aug 25, 2022
0
149
Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a Southwest Research Institute team has developed a machine learning tool ...
Astronomy
Jul 6, 2022
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45
Whales are huge, but they live in an even larger environment—the world's oceans. Researchers use a range of tools to study their whereabouts, including satellite tracking, aerial surveys, sightings and deploying individual ...
Plants & Animals
Jul 5, 2022
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28
Government coalitions often dissolve when too many parties disagree on too many issues. Even if a coalition seems stable for some time, a small crisis can cause a chain reaction that eventually causes the system to collapse. ...
Ecology
May 31, 2022
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45
Artificial intelligence (AI) is transforming every scientific field, from biology to materials science. When it comes to some types of X-ray experiments, new AI approaches have enabled researchers to obtain a more accurate ...
Analytical Chemistry
May 12, 2022
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23
A team of researchers at Tsinghua University in China, has broken the distance record for quantum secure direct communication (QSDC) by sending information using their protocol a distance of 102.2 km. In their paper published ...
Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, "topological materials," has offered an alternative but ...
Condensed Matter
Mar 24, 2022
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167
The field of machine learning on quantum computers got a boost from new research removing a potential roadblock to the practical implementation of quantum neural networks. While theorists had previously believed an exponentially ...
Quantum Physics
Feb 24, 2022
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1001
The removal of carbon dioxide (CO2) from Earth's atmosphere is a promising tool in the fight to counteract climate change. So-called carbon capture and sequestration (CCS) uses mechanical and chemical techniques to remove ...
Earth Sciences
Jan 28, 2022
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4
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research by a Los Alamos ...
Earth Sciences
Dec 17, 2021
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