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Mining mechanical behavior of gold nano-contact

Authors: Dao Duc-Anh; Vu Tien-Sinh; Nguyen Duong-Nguyen; Ishizuka Keisuke; Oshima Yoshifumi; Tomitori Masahiko; Dam Hieu-Chi;

Mining mechanical behavior of gold nano-contact

Abstract

This dataset contains time-series data of TEM images and synchronous properties of five Au-NC samples under various combined manipulations, such as pulling, pushing, or shearing. In the experiment for each sample, two Au tips with diameter of 10 μm were attached to one end of a length extension resonator (LER) and the counter electrode, respectively. Thereafter, the Au-NC samples were fabricated by contacting the ends of the two wires by changing the position of the LER through the piezo actuator and a micrometer that coarsely changed the position of the piezo actuator. Au-NCs were formed between two tapered Au bases. The electrical conductance and spring constant of the Au-NCs were sampled simultaneously at a rate of 2.4 kHz. The fabricated Au-NCs were observed in-situ using an ultra-high vacuum TEM (JEM-2000VF, JEOL) at an accelerating voltage of 200 kV. The pressure at the TEM column was maintained below 2x10-6 Pa to avoid contamination by the Au NCs. Consequently, TEM images were captured using a charge-coupled device (CCD) camera at a rate of 30 Hz. Given the sampling rates of the TEM (30 Hz) and the mechanical response (2.4 kHz), each recorded TEM image was synchronized to a time-series window of 80 values of the recorded mechanical responses. Contained within this dataset are raw video recordings documenting experiments performed on gold nano-contacts, in conjunction with the associated processed data that is essential for the training of models within our analytical framework. Specifically, the processed data encompasses sequences of background-removed video footage earmarked for subsequent nano-contact region detection. The segmented nano-contact region images extracted from these sequences serve as the basis for training the generative model. Concurrently, the structural features corresponding to these regions are employed in the training of our property prediction models. In the following, there are detailed description of the files uploaded: "Raw.zip" contains the raw video recordings documenting experiments performed on gold nano-contacts. "Background_Removal.zip" contains videos processed with background removal and csv files recording measurements of electrical conductance G and elastic spring constant k. "Train_Data.zip" contains the structural features of the nano-contacts for training predictive model and images of segmented nano-contacts for training generative model. Detailed description can be found in [1], [2].

{"references": ["K. Ishizuka, M. Tomitori, T. Arai, and Y. Oshima, Applied Physics Express 13 (2020).", "J. Zhang, K. Ishizuka, M. Tomitori, T. Arai, and Y. Oshima, Nanotechnology 31, 205706 (2020)."]}

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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