Fig. 4
From: A universal strategy for the creation of machine learning-based atomistic force fields
Learning curves constructed from δ RMS, the root-mean-square error of the AGNI force field created for Al, Cu, Ti, W, Si, and C using the random sampling method and either optimized V i,α (with d = 48 and w = 0.1 Å) or optimized V \(_{i,\alpha }^\prime\) (with d = 48). Each data point (and its error bar) is obtained from 10 force fields created on 10 independently selected training sets
