fig2

Physics infused machine learning force fields for 2D materials monolayers

Figure 2. Comparison of the predicted atomistic energy and the true values in monolayer (A) GeSe and (B) PbTe. The training dataset contains 11,893 and 10,148 configurations for GeSe and PbTe, respectively. DFT: Density functional theory; MAE: mean absolute error; RMSE: root mean square errors.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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