Using Weakly Supervised Deep Learning to Classify and Segment Single‐Molecule Break‐Junction Conductance Traces-Reference-Cited by-同舟云学术

Using Weakly Supervised Deep Learning to Classify and Segment Single‐Molecule Break‐Junction Conductance Traces

Published:2021-08-10 Issue:20 Volume:22 Page:2107-2114
ISSN:1439-4235
Container-title:ChemPhysChem
language:en
Short-container-title:ChemPhysChem

Author:

Lin Dongying¹,Zhao Zhihao²³,Pan Haoyang¹,Li Shi¹,Wang Yongfeng¹,Wang Dong²³,Sanvito Stefano⁴,Hou Shimin¹

Affiliation:

1. Department of Electronics Peking University Center for Nanoscale Science and Technology Key Laboratory for the Physics and Chemistry of Nanodevices Beijing 100871 China

2. Chinese Academy of Sciences CAS Key Laboratory of Molecular Nanostructure and Nanotechnology CAS Research/Education Center for Excellence in Molecular Sciences Beijing National Laboratory for Molecular Science (BNLMS) Beijing 100190 China

3. University of Chinese Academy of Sciences Beijing 100049 China

4. School of Physics Trinity College AMBER and CRANN Institute Dublin 2 Ireland

Funder

National Natural Science Foundation of China

Science Foundation Ireland

Publisher

Wiley

Subject

Physical and Theoretical Chemistry,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cphc.202100414

Reference37 articles.