Using machine learning to estimate stellar ages

Researchers from Keele University have developed a machine learning technique that helps astronomers better estimate the ages of stars from the chemicals within their atmospheres. The new research will be presented at the ...

Unveiling the secrets of liquid iron under extreme conditions

Two new innovative methods describe how to measure the electrical resistivity of liquid iron—such as that found in planetary cores—at extremely high pressures and temperatures. Prior to this, there were no experimental ...

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