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挖掘(统计)数据:一种用于单分子闪烁噪声分析的可重现方法。

Digging through the (Statistical) Dirt: A Reproducible Method for Single-Molecule Flicker Noise Analysis.

作者信息

Morris James M F, Potter Jarred, Bates Demetris, Wu Chuanli, Robertson Craig M, Higgins Simon J, Nichols Richard J, Low Paul J, Vezzoli Andrea

机构信息

Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom.

Stephenson Institute for Renewable Energy, Peach Street, Liverpool L69 7DF, United Kingdom.

出版信息

J Phys Chem C Nanomater Interfaces. 2025 Feb 14;129(8):4097-4104. doi: 10.1021/acs.jpcc.4c07780. eCollection 2025 Feb 27.

Abstract

Flicker noise analysis has found widespread use in the molecular electronics community over the past 9 years. The noise power of the junctions and the value of its scaling exponent provide information on the spatial overlap of scattering states in single-molecule junctions and give unique insights into quantum transport phenomena at the single-molecule level. The predominant drawback of this analytical tool is the inconsistency of the methodologies employed, resulting in irreproducibility across data sets acquired in different conditions or in different laboratories. Herein, we provide a pathway to a more reproducible methodology, detailing issues with the currently accepted correlation techniques employed and introducing the use of more statistically robust data processing criteria and lower thresholds for data acquisition parameters.

摘要

在过去九年里,闪烁噪声分析在分子电子学领域得到了广泛应用。结的噪声功率及其标度指数的值提供了关于单分子结中散射态空间重叠的信息,并为单分子水平的量子输运现象提供了独特见解。这种分析工具的主要缺点是所采用方法的不一致性,导致在不同条件下或不同实验室获取的数据集之间无法再现。在此,我们提供了一条通往更具可重复性方法的途径,详细说明了当前采用的相关技术存在的问题,并引入了统计上更稳健的数据处理标准和更低的数据采集参数阈值。

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