Electron Microscopy Studies of Soft Nanomaterials-Reference-Cited by-同舟云学术

Electron Microscopy Studies of Soft Nanomaterials

Published:2023-01-17 Issue:7 Volume:123 Page:4051-4145
ISSN:0009-2665
Container-title:Chemical Reviews
language:en
Short-container-title:Chem. Rev.

Author:

Lyu Zhiheng¹²^ORCID,Yao Lehan¹^ORCID,Chen Wenxiang¹²,Kalutantirige Falon C.³,Chen Qian¹²³⁴^ORCID

Affiliation:

1. Department of Materials Science and Engineering, University of Illinois at Urbana−Champaign, Urbana, Illinois61801, United States

2. Materials Research Laboratory, University of Illinois at Urbana−Champaign, Urbana, Illinois61801, United States

3. Department of Chemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois61801, United States

4. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana−Champaign, Urbana, Illinois61801, United States

Funder

Basic Energy Sciences

Publisher

American Chemical Society (ACS)

Subject

General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrev.2c00461

Reference697 articles.

1. Soft Matter (Nobel Lecture)

2. Towards data-driven next-generation transmission electron microscopy

3. Petford-Long, A.; Gilbert, B.; Penn, L.; Beratan, D.; Zhu, Y.; Meng, S.; Augustyn, V.; Berman, D.; Chen, Q.; Cui, Y.; Basic Energy Sciences Roundtable on Research Opportunities in the Physical Sciences Enabled by Cryogenic Electron Microscopy; U.S. Department of Energy, 2021. https://science.osti.gov/-/media/bes/pdf/reports/2021/CryoEM_RT_Report.pdf.

4. Imaging how thermal capillary waves and anisotropic interfacial stiffness shape nanoparticle supracrystals

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

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