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Nanoscience and Technology: An International Journal
Главный редактор: Sergey A. Lurie (open in a new tab)

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ISSN Печать: 2572-4258

ISSN Онлайн: 2572-4266

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.3 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.7 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.7 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00023 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.11 SJR: 0.244 SNIP: 0.521 CiteScore™:: 3.6 H-Index: 14

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MODELING OF PROCESSES OF COMPOSITE NANOPARTICLE FORMATION BY THE MOLECULAR DYNAMICS TECHNIQUE PART 2. PROBABILISTIC LAWS OF NANOPARTICLE CHARACTERISTICS

Том 2, Выпуск 1, 2011, pp. 39-54
DOI: 10.1615/NanomechanicsSciTechnolIntJ.v2.i1.30
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Краткое описание

In this part of the paper results of a series of computational experiments on simulation of the formation of nanoparticles are presented. Statistical data on the dimensional, structural, and quantitative properties of metal nanoparticles are obtained. The evaluative characteristics of sampled data are calculated. Statistical hypotheses concerning the probability distribution laws of the properties of nanoparticles are verified using the Pearson criterion. Histograms showing the distribution of the number of nanoparticles per unit volume, their average diameter and density, and the fraction of total mass of silver in nanoparticles are constructed.

ЦИТИРОВАНО В
  1. Vakhrushev A. V., Fedotov A. Yu., Lekontsev A. T., Modeling of Deformation and Destruction Processes of Al/Cu Nanocomposites, Science & Technique, 21, 1, 2022. Crossref

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