Engineering the first semimetallic Weyl quantum crystal

Engineering the first semimetallic Weyl quantum crystal

An international team of researchers led by the Strong Correlation Quantum Transport Laboratory of the RIKEN Center for Emergent Matter Science (CEMS) has demonstrated, in a world’s first, an ideal Weyl semimetal, marking a breakthrough in a decade-old problem of quantum materials. An international team of researchers led by the Strong Correlation Quantum Transport Laboratory of…

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Using AI machine learning to map hidden molecular interactions in bacteria

Using AI machine learning to map hidden molecular interactions in bacteria

A new study from Oregon Health & Science University has uncovered how small molecules within bacteria interact with proteins, revealing a network of molecular connections that could improve drug discovery and cancer research. A new study from Oregon Health & Science University has uncovered how small molecules within bacteria interact with proteins, revealing a network of…

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Mechanochemical synthesis: New theory explains reaction rate acceleration

Mechanochemical synthesis: New theory explains reaction rate acceleration

In contrast to conventional organic synthesis, mechanochemistry does not use solvents that eventually become industrial wastes. Thus, mechanochemistry is environmentally friendly and enables us to perform organic synthesis using reactants that poorly dissolve into common solvents. In contrast to conventional organic synthesis, mechanochemistry does not use solvents that eventually become industrial wastes. Thus, mechanochemistry is environmentally…

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Enhancing tornado damage surveys to reduce uncertainties in records

Enhancing tornado damage surveys to reduce uncertainties in records

Tornadoes remain one of the most destructive natural hazards. Accurately recording tornado occurrences has been challenging, especially in areas where confirming their occurrence is challenging due to sparse populations or dense forests. A recent news and views article, led by researchers from the China Meteorological Administration Tornado Key Laboratory, Peking University, and the Foshan Tornado…

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Combining machine learning with a climate system model enhances flood season rainfall predictions

Combining machine learning with a climate system model enhances flood season rainfall predictions

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the flood season has become increasingly critical. As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the flood season has become increasingly critical. Environment Phys.org – latest science and technology news stories

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Astronauts’ eyes weaken during long space missions, raising concerns for Mars travel

Astronauts’ eyes weaken during long space missions, raising concerns for Mars travel

The low levels of gravity (microgravity) in space cause significant changes in astronauts’ eyes and vision after six to 12 months aboard the International Space Station (ISS), according to a study published in the IEEE Open Journal of Engineering in Medicine and Biology. The low levels of gravity (microgravity) in space cause significant changes in astronauts’…

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