New frontiers in the structural analysis of nanomaterials: a deep-learning leap to bridge the gap in crystalline order

Mastrolorito, F.; De Feudis, M.; Ciriaco, F.; Caliandro, R.; Nicolotti, O.; Altomare, A.

doi:10.1107/S2052252526008444

Figure 12
Results of the regression model applied to the 33 experimental XRPD profiles processed by POWnet. (a) Scatter plot of the predicted versus actual values of the CLP variable. The bisector green line is shown to guide the eye. (b) Comparison of R_F, CLP and N_CLP80 values obtained for the 33 input and POWnet profiles with the 16 profiles selected by the regression model (predicted R_F > 0.60).

IUCrJ

Volume 13| Part 6| November 2026|

ISSN: 2052-2525

https://doi.org/10.1107/S2052252526008444

MATERIALS | COMPUTATION

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access