A new approach to the characterization of nanomaterials: Predicting Young’s modulus by correlation weighting of nanomaterials codes

Twenty-nine nanomaterials (atom composition and conditions of syntheses) have been studied. Their characteristics were applied to predictions of Young’s modulus values (in GPa). The obtained statistical characteristics of the models are reasonably good, n = 21, r2 = 0.9757, s = 18.3 GPa, F = 761 (training set) and n = 8, r2 = 0.8952, r pred 2 = 0.8880 , s = 34.7 GPa, F = 51 (test set).