Figure 3 (IMAGE)

Advanced Institute for Materials Research (AIMR), Tohoku University

Figure 3

Caption

Machine-learning models in DigBat. (a) Representative cations, anions, and neutral molecules in hydride SSEs. (b) Descriptors used for model construction. (c) Performance of the machine-learning model (Eq. (3)) for divalent systems with neutral molecules. (d) Evaluation metrics (R², RMSE, and MAE) for different equations on training and test datasets.

Credit

Qian Wang et al.

Usage Restrictions

Credit must be given to the creator.

License

CC BY

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.