Fig. 4 | Scientific Reports

Fig. 4

From: Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions

Fig. 4

Prediction performance of the parameter estimation pipeline on the testing set. (a) Scatter plots depicting the agreement between the scaled features predicted using R2FNet on the test set of noisy radiographs (vertical axis) and the corresponding scaled ground truth features (horizontal) axis in the testing set. (b) Line plots depicting the agreement between the scaled parameters predicted using F2PNet on the features predicted from R2FNet (violin plots representing the data range and distribution) and scaled ground truth parameters (diagonal lines) in the testing set. The correlation coefficients are shown in their respective plots.

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