Why it is Unfortunate that Linear Machine Learning “Works” so well in Electromechanical Switching of Ferroelectric Thin Films
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DOI: 10.1002/adma.202202814
Abstract: Machine learning (ML) is relied on for materials spectroscopy. It is challenging to make ML models fail because statistical correlations can mimic the physics without causality. Here, using a benchmark band‐excitation piezoresponse force microscopy polarization… read more here.
Keywords: spectroscopy; machine learning; unfortunate linear; electromechanical switching ... See more keywords