A Deep‐Learning Framework for the Automated Recognition of Molecules in Scanning‐Probe‐Microscopy Images-Reference-Cited by-同舟云学术

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A Deep‐Learning Framework for the Automated Recognition of Molecules in Scanning‐Probe‐Microscopy Images

Published:2022-11-04 Issue:49 Volume:134 Page:
ISSN:0044-8249
Container-title:Angewandte Chemie
language:en
Short-container-title:Angewandte Chemie

Author:

Zhu Zhiwen¹^ORCID,Lu Jiayi¹^ORCID,Zheng Fengru¹,Chen Cheng²,Lv Yang²,Jiang Hao¹^ORCID,Yan Yuyi¹^ORCID,Narita Akimitsu³,Müllen Klaus³,Wang Xiao‐Ye²,Sun Qiang¹^ORCID

Affiliation:

1. Materials Genome Institute Shanghai University 200444 Shanghai China

2. State Key Laboratory of Elemento-Organic Chemistry College of Chemistry Nankai University 300071 Tianjin China

3. Max Planck Institute for Polymer Research 55128 Mainz Germany

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ange.202213503

Reference48 articles.

1. High resolution SPM imaging of organic molecules with functionalized tips

2. AFM-IR: Technology and Applications in Nanoscale Infrared Spectroscopy and Chemical Imaging

3. Scientific discovery with the James Webb Space Telescope

4. Automated structure discovery in atomic force microscopy

5. Developments and perspectives of scanning probe microscopy (SPM) on organic materials systems

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