Machine Learning-Enhanced Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) for Analyzing Fibrillar Structures in Polymer Solutions-Reference-Cited by-同舟云学术

Machine Learning-Enhanced Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) for Analyzing Fibrillar Structures in Polymer Solutions

Published:2022-12-12 Issue:24 Volume:55 Page:11076-11091
ISSN:0024-9297
Container-title:Macromolecules
language:en
Short-container-title:Macromolecules

Author:

Wu Zijie¹,Jayaraman Arthi¹²^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, University of Delaware, 150 Academy St., Newark, Delaware19716, United States

2. Department of Materials Science and Engineering, University of Delaware, 201 DuPont Hall, Newark, Delaware19716, United States

Funder

Division of Materials Research

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Inorganic Chemistry,Polymers and Plastics,Organic Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.macromol.2c02165

Reference84 articles.

1. Small-Angle X-Ray Scattering on Biological Macromolecules and Nanocomposites in Solution

2. Methods, development and applications of small-angle X-ray scattering to characterize biological macromolecules in solution

3. Small-angle X-ray scattering of nanoporous materials

4. Characterization methods of polymer core–shell particles

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Convergence of Artificial Intelligence, Machine Learning, Cheminformatics, and Polymer Science in Macromolecules;Macromolecules;2024-08-09

2. A prospective on machine learning challenges, progress, and potential in polymer science;MRS Communications;2024-07-01

3. Machine learning for analyses and automation of structural characterization of polymer materials;Progress in Polymer Science;2024-06

4. Computational Reverse Engineering Analysis of the Scattering Experiment Method for Interpretation of 2D Small-Angle Scattering Profiles (CREASE-2D);JACS Au;2024-03-20

5. Understanding Self-Assembly and Molecular Packing in Methylcellulose Aqueous Solutions Using Multiscale Modeling and Simulations;Biomacromolecules;2024-02-28