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python open-source scripts  (OVITO GmbH)

 
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    OVITO GmbH python open-source scripts
    Python Open Source Scripts, supplied by OVITO GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/open-source+script/python+open+source+scripts/pm33432963-147-30-30
    Average 90 stars, based on 1 article reviews
    python open-source scripts - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: 3D Atomic-Scale Dynamics of Laser-Light-Induced Restructuring of Nanoparticles Unraveled by Electron Tomography.
    Article Snippet: Dr. W. Albrecht, E. Arslan Irmak, Prof. T. Altantzis, A. Pedrazo-Tardajos, A. Skorikov, Prof. S. Van Aert, Prof. S. Bals EMAT and NANOlab Center of Excellence University of Antwerp Groenenborgerlaan 171, Antwerp B-2020, Belgium E-mail: wiebke.albrecht@uantwerpen.be; sandra.vanaert@uantwerpen.be; sara.bals@uantwerpen.be Dr. W. Albrecht, Dr. J. E. S. van der Hoeven, Prof. A. van Blaaderen Soft Condensed Matter, Debye Institute for Nanomaterials Science Utrecht University Princetonplein 5, Utrecht 3584 CC, The Netherlands E-mail: a.vanblaaderen@uu.nl Dr. T.-S. Deng School of Electronics and Information Engineering Hangzhou Dianzi University No. 1158, 2nd Avenue, Baiyang Street, Hangzhou 310018, China The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/adma.202100972.

    Article Title: Three-dimensional atomic structure of supported Au nanoparticles at high temperature.
    Article Snippet: All the 3D structures were visualized by OVITO open visualization tool.34 Also, the coordination analysis and the polyhedral template matching approach for the structural classification (Fig. 5d) were applied through OVITO Python open-source scripts.35 For the internal structure characterization of the NPs at 500 °C, the temperature effect was included by considering the parameterized Debye–Waller factors31 and the temperature-dependent root mean square deviation of Au atoms (rmsd = 0.14 at 500 °C).



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    Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and the three-dimensional kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of 1-SPM to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.

    Journal: Heliyon

    Article Title: A new method applied for explaining the landing patterns: Interpretability analysis of machine learning

    doi: 10.1016/j.heliyon.2024.e26052

    Figure Lengend Snippet: Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and the three-dimensional kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of 1-SPM to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.

    Article Snippet: For the implementation of SPM, the open-source MATLAB script (paired-samples T-test) of One-Dimensional SPM (SPM 1D) was employed to test the statistical differences, and the significance threshold was set as 0.05 [ , ].

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