Fig. 1: The workflow of the ML approach.
From: Predicting plastic deformation of crystalline materials by deciphering acoustic emission
Micropillar compression tests provide force and AE data which are, then, divided into equisized time windows. From the windows, frequency independent and dependent descriptors and force increments (ground truth) are extracted. These are utilized for the training of random forest ML models.
