Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) with Machine Learning Enhancement to Determine Structure of Nanoparticle Mixtures and Solutions

[Image: see text] We present a new open-source, machine learning (ML) enhanced computational method for experimentalists to quickly analyze high-throughput small-angle scattering results from multicomponent nanoparticle mixtures and solutions at varying compositions and concentrations to obtain reco...

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Detalles Bibliográficos
Autores principales: Heil, Christian M., Patil, Anvay, Dhinojwala, Ali, Jayaraman, Arthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335921/
https://www.ncbi.nlm.nih.gov/pubmed/35912348
http://dx.doi.org/10.1021/acscentsci.2c00382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335921/
https://www.ncbi.nlm.nih.gov/pubmed/35912348
http://dx.doi.org/10.1021/acscentsci.2c00382

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