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Aalto University: Machine learning gives material science researchers a peek at the answer key

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Carbon-based materials hold enormous potential for building a sustainable future, but material scientists need tools to properly analyse their atomic structure, which determines their functional properties. X-ray photoelectron spectroscopy (XPS) is one of the tools used to do this, but XPS results can be challenging to interpret. Now, researchers at Aalto have developed a machine-learning […]