Machine Learning Enabled Prediction of Mechanical Properties of Tungsten Disulfide Monolayer

type, chirality, temperature, strain rate, and defect ratio. The mean square errors of ML predictions for the mechanical properties are orders of magnitude smaller than the actual values of each property, indicating good training results of the RF model.