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

Roberts, Graham [School of Computing, University of Connecticut, Storrs, CT, USA] (ORCID:0000000152455769); Nieh, Mu-Ping [Chemical & Biomolecular Engineering Department, University of Connecticut, Storrs, CT, USA, Polymer Program, Institute of Materials Science, University of Connecticut, Storrs, CT, USA] (ORCID:0000000344628716); Ma, Anson W. K. [Chemical & Biomolecular Engineering Department, University of Connecticut, Storrs, CT, USA, Polymer Program, Institute of Materials Science, University of Connecticut, Storrs, CT, USA] (ORCID:0000000228655776); Yang, Qian [School of Computing, University of Connecticut, Storrs, CT, USA] (ORCID:0000000155191092)

doi:10.1039/d5dd00059a

DOE OSTI · 2565101

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

Roberts, Graham [School of Computing, University of Connecticut, Storrs, CT, USA] (ORCID:0000000152455769)·Nieh, Mu-Ping [Chemical & Biomolecular Engineering Department, University of Connecticut, Storrs, CT, USA, Polymer Program, Institute of Materials Science, University of Connecticut, Storrs, CT, USA] (ORCID:0000000344628716)·Ma, Anson W. K. [Chemical & Biomolecular Engineering Department, University of Connecticut, Storrs, CT, USA, Polymer Program, Institute of Materials Science, University of Connecticut, Storrs, CT, USA] (ORCID:0000000228655776)·Yang, Qian [School of Computing, University of Connecticut, Storrs, CT, USA] (ORCID:0000000155191092)

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Abstract

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

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Roberts, Graham [School of Computing, University of Connecticut, Storrs, CT, USA] (ORCID:0000000152455769), Nieh, Mu-Ping [Chemical & Biomolecular Engineering Department, University of Connecticut, Storrs, CT, USA, Polymer Program, Institute of Materials Science, University of Connecticut, Storrs, CT, USA] (ORCID:0000000344628716), Ma, Anson W. K. [Chemical & Biomolecular Engineering Department, University of Connecticut, Storrs, CT, USA, Polymer Program, Institute of Materials Science, University of Connecticut, Storrs, CT, USA] (ORCID:0000000228655776), Yang, Qian [School of Computing, University of Connecticut, Storrs, CT, USA] (ORCID:0000000155191092). 2025-01-01. Automated structural analysis of small angle scattering data from common nanoparticles via machine learning. https://doi.org/10.1039/d5dd00059a

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