Automated structural analysis of small angle scattering data from common nanoparticles via machine learning

2025/01/01 by Graham Roberts, Mu‐Ping Nieh, W. K. Anson +1 · 1 voice · 1 citation
Engineering · Materials Science · #Enhanced Oil Recovery Techniques #Machine Learning in Materials Science #X-ray Diffraction in Crystallography

paper · pdf · doi:10.1039/d5dd00059a

openalex publication_date 2025/01/01 · openalex created_date 2025/05/02 · openalex updated_date 2026/07/30

Abstract

A data-efficient and trustworthy machine learning approach is developed for automated inverse analysis of small angle scattering data.

Cited by

• Accelerated sol–gel synthesis of nanoporous silica via integrated small angle X-ray scattering with an open-source automation platform

Discussions

• Qian Yang introduces our latest featured article: "We develop a data-efficient and trustworthy machine learning approach for automated inverse analysis of small angle scattering data." Read the open a [bsky, 1 points, 0 comments]

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