Using machine learning, researchers at Penn State have tied low-magnitude microearthquakes to the permeability of subsurface rocks beneath the Earth, a discovery that could have implications for improving geothermal energy ...
Earth Sciences
Apr 11, 2024
0
116
Although the troposphere is often thought of as the closest layer of the atmosphere to the Earth's surface, the planetary boundary layer (PBL)—the lowest layer of the troposphere—is actually the part that most significantly ...
Earth Sciences
Apr 18, 2024
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1
Many of us would love the superpower to fly, and for good reason: Flight offers a crucial evolutionary advantage. Flying enables an animal to travel large distances quickly, in search of food and new habitats, while expending ...
Plants & Animals
Apr 18, 2024
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30
As the impacts of climate change increasingly affect the daily lives of residents in several countries, including Brazil, the resilience of forests, especially tropical ones such as the Amazon, has become a frequent topic ...
Earth Sciences
Apr 29, 2024
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10
Researchers from the University of Waterloo have successfully classified 191 previously unidentified astroviruses using a new machine learning-enabled classification process.
Molecular & Computational biology
Apr 29, 2024
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52
Observing individual cells through microscopes can reveal a range of important cell biological phenomena that frequently play a role in human diseases, but the process of distinguishing single cells from each other and their ...
Cell & Microbiology
Apr 22, 2024
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55
Life sciences have never been more digital. To learn more about life processes, biologists are collecting massive quantities of data that computer scientists analyze by means of sophisticated computational models that they ...
Cell & Microbiology
Apr 11, 2024
0
70
Understanding how proteins interact with each other is crucial for developing new treatments and understanding diseases. Thanks to computational advances, a team of researchers led by Assistant Professor of Chemistry Alberto ...
Biochemistry
Apr 16, 2024
0
42
Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists from Tokyo Tech. Their ML-based model could be extended ...
Analytical Chemistry
Apr 12, 2024
0
106
Prof. Guo Shifeng's team at the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences has proposed a novel method that fills the gap between physical measurement and artificial intelligence in ...
Cell & Microbiology
Apr 2, 2024
0
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