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This paper presents a machine learning (ML)‐enabled discrete element method (DEM) for the computational mechanics of irregular‐shaped particles. ML‐enabled DEM, as with most conventional DEMs, encompasses four main steps in one typical calculation cycle, namely, (1) the detection and resolution of contacts, (2) the evaluation of contact behavior, (3) the calculation of particle motion, and (4) the...
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