J. M. Hamill
Fast Data Sorting with Modified Principal Component Analysis to Distinguish Unique Single Molecular Break Junction Trajectories
Hamill, J. M.; Zhao, X. T.; Mészáros, G.; Bryce, M. R.; Arenz, M.
X. T. Zhao
Professor Martin Bryce email@example.com
A simple and fast analysis method to sort large data sets into groups with shared distinguishing characteristics is described and applied to single molecular break junction conductance versus electrode displacement data. The method, based on principal component analysis, successfully sorts data sets based on the projection of the data onto the first or second principal component of the correlation matrix without the need to assert any specific hypothesis about the expected features within the data. This is an improvement on the current correlation matrix analysis approach because it sorts data automatically, making it more objective and less time consuming, and our method is applicable to a wide range of multivariate data sets. Here the method is demonstrated on two systems. First, it is demonstrated on mixtures of two molecules with identical anchor groups and similar lengths, but either a π (high conductance) or a σ (low conductance) bridge. The mixed data are automatically sorted into two groups containing one molecule or the other. Second, it is demonstrated on break junction data measured with the π bridged molecule alone. Again, the method distinguishes between two groups. These groups are tentatively assigned to different geometries of the molecule in the junction.
Hamill, J., Zhao, X., Mészáros, G., Bryce, M., & Arenz, M. (2018). Fast Data Sorting with Modified Principal Component Analysis to Distinguish Unique Single Molecular Break Junction Trajectories. Physical Review Letters, 120(1), Article 016601. https://doi.org/10.1103/physrevlett.120.016601
|Journal Article Type||Article|
|Acceptance Date||Jun 21, 2017|
|Online Publication Date||Jan 2, 2018|
|Publication Date||Jan 2, 2018|
|Deposit Date||Jan 18, 2018|
|Publicly Available Date||Jan 18, 2018|
|Journal||Physical Review Letters|
|Publisher||American Physical Society|
|Peer Reviewed||Peer Reviewed|
Published Journal Article
Reprinted with permission from the American Physical Society: Hamill, J. M., Zhao, X. T., Mészáros, G., Bryce, M. R. & Arenz, M. (2018). Fast Data Sorting with Modified Principal Component Analysis to Distinguish Unique Single Molecular Break Junction Trajectories. Physical Review Letters 120(1): 016601 © 2018 by the American Physical Society. Readers may view, browse, and/or download material for temporary copying purposes only, provided these uses are for noncommercial personal purposes. Except as provided by law, this material may not be further reproduced, distributed, transmitted, modified, adapted, performed, displayed, published, or sold in whole or part, without prior written permission from the American Physical Society.
You might also like
Aggregation-Induced Emission (AIE), Life and Health