Fig. 7: Relative performance computed as the ratio of the MAE difference between the best descriptor-based model and the best neural networks to the MAE of the best neural networks in the AI regression benchmarks. | npj Computational Materials

Fig. 7: Relative performance computed as the ratio of the MAE difference between the best descriptor-based model and the best neural networks to the MAE of the best neural networks in the AI regression benchmarks.

From: JARVIS-Leaderboard: a large scale benchmark of materials design methods

Fig. 7

The benchmark name and the corresponding best performing neural network are indicated in the left and right y axis, respectively. For all the considered AI benchmarks, the best descriptor-based model is the tree-based model using Magpie185 and Voronoi-tessellation201 features. As a disclaimer, these plots are a current snapshot of the leaderboard, and it is possible that new and more accurate models will be developed in the future.

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