Figure6
![Local environment interaction-based machine learning framework for predicting molecular adsorption energy](https://image.oaes.cc/0aac4bd1-4271-417a-a8a8-1aafc2764cff/jmi3041-6.jpg)
Figure 6. (A) and (B) The H adsorption sites on a sample of nanoparticles and 2D materials, respectively; (C) The comparison of the adsorption energy prediction results of LERN with the DFT calculation and the benchmark (ALiGNN) results. 2D: Two-dimensional; LERN: local environment input into ResNet; DFT: Density Functional Theory; ALiGNN: Atomistic Line Graph Neural Network.