1,721,003 research outputs found
sj-pdf-1-jcm-10.1177_00219983211065549 – Supplemental Material for Interfacial Morphology between Ramie Fibers and Phenolic Resins: Effects of Plasma Treatment and Cure Cycle
No full textSupplemental Material, sj-pdf-1-jcm-10.1177_00219983211065549 for Interfacial Morphology between Ramie Fibers and Phenolic Resins: Effects of Plasma Treatment and Cure Cycle by Sameer F Hamad, Teng Fei, Simon A Hayes, Joel P Foreman and Cornelia Rodenburg in Journal of Composite Materials</p
The Effect of Oxide Overlayers on Secondary Electron Dopant Mapping
No full textThe International Technology Roadmap for Semiconductors ranks dopant profiling as one of the most difficult challenges for analysis of semiconductors. Dopant mapping in the scanning electron microscope ~SEM! has the potential to provide a solution. This technique has not yet found widespread application, however, mainly due to the lack of a comprehensive theoretical model, uncertain quantification, and its inability to differentiate doping levels in n-type silicon. Although a Monte Carlo model was recently published that closely matched experimental data obtained in p-doped silicon to data obtained from the theoretical model, a large discrepancy between experimental data obtained for n-type silicon was found. Here we present a Monte Carlo model that provides close matches between experimental and calculated data in both n- and p-type silicon, paving the way for a widespread application of SEM dopant contrast
A comprehensive Monte Carlo calculation of dopant contrast in secondary electron imaging
No full textTwo-dimensional dopant mapping using secondary electrons in a scanning electron microscope is a useful and rapid technique for studying dopant distributions with high spatial resolution in semiconductor materials and devices. However, it has not yet found wide spread application because the quantification of dopant concentrations currently lacks a firm theoretical model. This paper addresses the issue by means of Monte Carlo modelling. We demonstrate that by taking account of the electron affinity in Monte Carlo simulations to calculate the secondary electron emission from doped silicon the dopant contrast can be explained. This paper also provides a firm theoretical model about the existence of surface effects in dopant contrast imaging
SEHI (Secondary Electron Hyperspectral Imaging) dataset of Metal alloy and Carbon film (Palladium Silver Carbon complex film)
No full textContact: SM3 (SEE MORE MAKE MORE) project PI, Professor Cornelia Rodenburg, [email protected] data repository can be used as benchmark data for the purpose of material characterization, particularly for investigating nanostructures in materials using SEHI (Secondary Electron Hyperspectral Imaging), as well as research in instrumentations (Scanning Electron Microscopy), and advanced image processing and data analysis (computer vision and machine learning) techniques.The complex metal alloy (palladium silver, abbreviated as PdAg) and carbon films were printed by University of Liverpool, and a Helios Nanolab G3 UC microscope was used to acquire the raw image stacks [1]. One can find information from [1] regarding the sample preparation, and experimental conditions. This dataset contains four processed SEHI stacks (cropped), and the associated metadata.[1] Abrams, K.J., Dapor, M., Stehling, N., Azzolini, M., Kyle, S.J., Schäfer, J., Quade, A., Mika, F., Kratky, S., Pokorna, Z., et al., 2019. Making sense of complex carbon and metal/carbon systems by secondary electron hyperspectral imaging. Advanced Science 6, 1900719.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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