Machine learning reveals the influences of grain morphology
Grain morphology has significant impacts on the mechanical behaviors of granular materials However its influences on grain breakage are still poorly understood due to the complexity of morphological characterization This work employs the machine learning ML approach to reveal the impacts of grain morphology on grain crushing strength A database
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