Predicting efficient oxygen reduction electrodes for ceramic fuel cells
Ceramic fuel cells, also known as solid oxide fuel cells, are promising green electrochemical devices offering high energy efficiency, low emissions and fuel flexibility.
Ceramic fuel cells, also known as solid oxide fuel cells, are promising green electrochemical devices offering high energy efficiency, low emissions and fuel flexibility.
Analytical Chemistry
Jan 9, 2023
0
19
Satellite observations and computer simulations are important tools for understanding past changes in Earth's climate and for projecting future changes.
Earth Sciences
Nov 22, 2022
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62
The rate at which emerging wildlife diseases infect humans has steadily increased over the last three decades. Viruses, such as the global coronavirus pandemic and recent monkeypox outbreak, have heightened the urgent need ...
Ecology
Sep 1, 2022
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63
Researchers at the University of Liverpool, the University of Bristol, University College London (UCL), and Diamond Light Source have developed new understanding of gallium oxide by combining a machine-learning theoretical ...
Analytical Chemistry
Aug 17, 2022
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67
Researchers from the Critical Analytics for Manufacturing Personalized-Medicines (CAMP), an Interdisciplinary Research Group (IRG) at the Singapore-MIT Alliance for Research and Technology (SMART), MIT's research enterprise ...
Cell & Microbiology
Jun 20, 2022
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68
Experts from the University of Nottingham have developed new software which combines DNA sequencing and machine learning to help them find where, and to what extent, antibiotic resistant bacteria is being transmitted between ...
Cell & Microbiology
Apr 20, 2022
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512
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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84
A scientist at Karolinska Institutet reports that machine learning can be used to gain insights into molecular events that change the shape of proteins after they are made, regulating their ability to interact with each other. ...
Molecular & Computational biology
Oct 7, 2021
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19
Last season, Kansas City Chiefs quarterback Patrick Mahomes boasted a 66.3 pass-completion percentage.
Biochemistry
Sep 8, 2021
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74
Northwestern University researchers have developed a new framework using machine learning that improves the accuracy of interatomic potentials—the guiding rules describing how atoms interact—in new materials design. The ...
Materials Science
Jul 22, 2021
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920