Morphology reconstruction from experimental small-angle x-ray scattering patterns by physics-aware neural network
In this work, we developed a new methodology that can reconstruct the morphology from experimental small-angle x-ray scattering (SAXS) patterns directly without modeling by using a physics-aware neural network, SAXSNN. By incorporating the scattering physics of x rays into the network, SAXSNN could...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-03-01
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| Series: | APL Machine Learning |
| Online Access: | http://dx.doi.org/10.1063/5.0246111 |
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