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For: Lauritzen KP, Magyarkuti A, Balogh Z, Halbritter A, Solomon GC. Classification of conductance traces with recurrent neural networks. J Chem Phys 2018;148:084111. [PMID: 29495782 DOI: 10.1063/1.5012514] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
Number Cited by Other Article(s)
1
Gerry M, Wang JJ, Li J, Shein-Lumbroso O, Tal O, Segal D. Machine learning delta-T noise for temperature bias estimation. J Chem Phys 2025;162:084108. [PMID: 40008946 DOI: 10.1063/5.0250879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2024] [Accepted: 01/30/2025] [Indexed: 02/27/2025]  Open
2
Gorenskaia E, Low PJ. Methods for the analysis, interpretation, and prediction of single-molecule junction conductance behaviour. Chem Sci 2024;15:9510-9556. [PMID: 38939131 PMCID: PMC11206205 DOI: 10.1039/d4sc00488d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 05/06/2024] [Indexed: 06/29/2024]  Open
3
Komoto Y, Ryu J, Taniguchi M. Total variation denoising-based method of identifying the states of single molecules in break junction data. DISCOVER NANO 2024;19:20. [PMID: 38285285 PMCID: PMC10825082 DOI: 10.1186/s11671-024-03963-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/22/2024] [Indexed: 01/30/2024]
4
Tao S, Zhang Q, Pitie S, Liu C, Fan Y, Zhao C, Seydou M, Dappe YJ, Nichols RJ, Yang L. Revealing conductance variation of molecular junctions based on an unsupervised data analysis approach. Electrochim Acta 2023. [DOI: 10.1016/j.electacta.2023.142225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2023]
5
Shijie Gao, Liu X, Liu X, Chen D, Guo H, Yin J. Predicting the AC Conductivity of Nanocomposite Films using the Bagging Model. POLYMER SCIENCE SERIES A 2022. [DOI: 10.1134/s0965545x22700559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
6
Bro-Jørgensen W, Hamill JM, Bro R, Solomon GC. Trusting our machines: validating machine learning models for single-molecule transport experiments. Chem Soc Rev 2022;51:6875-6892. [PMID: 35686581 PMCID: PMC9377421 DOI: 10.1039/d1cs00884f] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Indexed: 11/21/2022]
7
Fu T, Frommer K, Nuckolls C, Venkataraman L. Single-Molecule Junction Formation in Break-Junction Measurements. J Phys Chem Lett 2021;12:10802-10807. [PMID: 34723548 DOI: 10.1021/acs.jpclett.1c03160] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
8
Lin D, Zhao Z, Pan H, Li S, Wang Y, Wang D, Sanvito S, Hou S. Using Weakly Supervised Deep Learning to Classify and Segment Single-Molecule Break-Junction Conductance Traces. Chemphyschem 2021;22:2107-2114. [PMID: 34324254 DOI: 10.1002/cphc.202100414] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/23/2021] [Indexed: 11/11/2022]
9
Huan YQ, Liu Y, Goh KEJ, Wong SL, Lau CS. Deep learning-enabled prediction of 2D material breakdown. NANOTECHNOLOGY 2021;32:265203. [PMID: 33361556 DOI: 10.1088/1361-6528/abd655] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 12/23/2020] [Indexed: 06/12/2023]
10
Bag S, Aggarwal A, Maiti PK. Machine Learning Prediction of Electronic Coupling between the Guanine Bases of DNA. J Phys Chem A 2020;124:7658-7664. [DOI: 10.1021/acs.jpca.0c04368] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
11
Vladyka A, Albrecht T. Unsupervised classification of single-molecule data with autoencoders and transfer learning. MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2020. [DOI: 10.1088/2632-2153/aba6f2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
12
Liu B, Murayama S, Komoto Y, Tsutsui M, Taniguchi M. Dissecting Time-Evolved Conductance Behavior of Single Molecule Junctions by Nonparametric Machine Learning. J Phys Chem Lett 2020;11:6567-6572. [PMID: 32668163 DOI: 10.1021/acs.jpclett.0c01948] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
13
Fu T, Zang Y, Zou Q, Nuckolls C, Venkataraman L. Using Deep Learning to Identify Molecular Junction Characteristics. NANO LETTERS 2020;20:3320-3325. [PMID: 32242671 DOI: 10.1021/acs.nanolett.0c00198] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
14
Magyarkuti A, Balogh N, Balogh Z, Venkataraman L, Halbritter A. Unsupervised feature recognition in single-molecule break junction data. NANOSCALE 2020;12:8355-8363. [PMID: 32239021 DOI: 10.1039/d0nr00467g] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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