Machine learning inversion from scattering for mechanically driven polymers

Ding, L.; Tung, C.-H.; Sumpter, B.G.; Chen, W.-R.; Do, C.

doi:10.1107/S160057672500634X

Journal of Applied Crystallography Journal of Applied
Crystallography

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Figure 5
Distribution of various inversion features of the training data in the singular value space. (a) Bending modulus κ. (b) Stretching force f. (c) Contour length normalized shear γL. (d) End-to-end distance scaled by contour length squared R²/L². (e) Radius of gyration squared scaled by contour length $[R_{\rm g}^{2}/L]$ . (f) Off-diagonal xz component of gyration tensor $[R_{xz}/R_{\rm g}^{2}]$ .

JOURNAL OF
APPLIED
CRYSTALLOGRAPHY

ISSN: 1600-5767

Volume 58| Part 5| October 2025| Pages 1526-1532

https://doi.org/10.1107/S160057672500634X

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