Seeking regularity from irregularity: unveiling the synthesis–nanomorphology relationships of heterogeneous nanomaterials using unsupervised machine learning-Reference-Cited by-同舟云学术

Seeking regularity from irregularity: unveiling the synthesis–nanomorphology relationships of heterogeneous nanomaterials using unsupervised machine learning

Published:2022 Issue:44 Volume:14 Page:16479-16489
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Yao Lehan¹^ORCID,An Hyosung¹²^ORCID,Zhou Shan¹^ORCID,Kim Ahyoung¹^ORCID,Luijten Erik³⁴⁵⁶^ORCID,Chen Qian¹⁷⁸⁹^ORCID

Affiliation:

1. Department of Materials Science and Engineering, University of Illinois, Urbana, IL 61801, USA

2. Department of Petrochemical Materials Engineering, Chonnam National University, Yeosu, 59631, Korea

3. Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA

4. Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60208, USA

5. Department of Chemistry, Northwestern University, Evanston, IL 60208, USA

6. Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA

7. Department of Chemistry, University of Illinois, Urbana, IL 61801, USA

8. Materials Research Laboratory, University of Illinois, Urbana, IL 61801, USA

9. Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL 61801, USA

Abstract

Shape fingerprint functions and unsupervised machine learning are used to classify and analyze nanomaterial morphologies from 2D and 3D TEM data.

Funder

U.S. Department of Energy

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NR/D2NR03712B

Reference79 articles.

1. Multivalent Polymer–Peptide Conjugates: A General Platform for Inhibiting Amyloid Beta Peptide Aggregation

2. Polymer−Peptide Conjugates Convert Amyloid into Protein Nanobundles through Fragmentation and Lateral Association

3. 3D visualization of the internal nanostructure of polyamide thin films in RO membranes

4. Electron tomography reveals details of the internal microstructure of desalination membranes

5. Unraveling the Morphology–Function Relationships of Polyamide Membranes Using Quantitative Electron Tomography

Cited by 8 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. Progress in the Computer‐Aided Analysis in Multiple Aspects of Nanocatalysis Research;Advanced Healthcare Materials;2024-07-07

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

3. Nanoparticle self-assemblies with modern complexity;MRS Bulletin;2024-04

4. Direct Imaging of “Patch-Clasping” and Relaxation in Robust and Flexible Nanoparticle Assemblies;ACS Nano;2023-12-26

5. Operando Electron Microscopy of Catalysts: The Missing Cornerstone in Heterogeneous Catalysis Research?;Chemical Reviews;2023-11-15