Can Neural Networks Learn Atomic Stick–Slip Friction?
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DOI: 10.1021/acsami.5c09866
Abstract: Nanofriction experiments typically produce force traces exhibiting atomic stick–slip oscillations, which researchers have traditionally analyzed with ad hoc algorithms. This study successfully unravels the potential of machine learning (ML) to interpret nanofriction force traces and… read more here.
Keywords: atomic stick; stick; stick slip; force traces ... See more keywords