1,721,167 research outputs found

    XRF maps and line scans project files belonging to XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents.

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    RTX Project files. Details given in supporting information S2 File. XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents. https://doi.org/10.1371/journal.pone.0283539.s002 (DOCX) Belonging to publication Lagerqvist Alidoost A, Hacke M, Winther T, Sandström T (2023) A closer look at the Azzolino collection. PLOS ONE 18(4): e0283539. https://doi.org/10.1371/journal.pone.028353

    Innovative materials for post lithium-ion batteries

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    L'abstract è presente nell'allegato / the abstract is in the attachmen

    Spectra belonging to XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents.

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    Accumulated spectra. Details given in supporting information  S2 File. XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents. https://doi.org/10.1371/journal.pone.0283539.s002 (DOCX) Belonging to publication  Lagerqvist Alidoost A, Hacke M, Winther T, Sandström T (2023) A closer look at the Azzolino collection. PLOS ONE 18(4): e0283539. https://doi.org/10.1371/journal.pone.028353

    XRF spectra belonging to report on quantification method based on XRF analysis.

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    Accumulated spectra. Details in supporting information S3 File. XRF instrument report quantitative analysis. Report on quantification method based on XRF analysis. https://doi.org/10.1371/journal.pone.0283539.s003 (DOCX) Belonging to publication Lagerqvist Alidoost A, Hacke M, Winther T, Sandström T (2023) A closer look at the Azzolino collection. PLOS ONE 18(4): e0283539. https://doi.org/10.1371/journal.pone.028353

    Spectra belonging to XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents.

    No full text
    Accumulated spectra. Details given in supporting information S2 File. XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents. https://doi.org/10.1371/journal.pone.0283539.s002 (DOCX) Belonging to publication Lagerqvist Alidoost A, Hacke M, Winther T, Sandström T (2023) A closer look at the Azzolino collection. PLOS ONE 18(4): e0283539. https://doi.org/10.1371/journal.pone.028353

    XRF spectra belonging to report on quantification method based on XRF analysis.

    No full text
    Accumulated spectra. Details in supporting information  S3 File. XRF instrument report quantitative analysis. Report on quantification method based on XRF analysis. https://doi.org/10.1371/journal.pone.0283539.s003 (DOCX) Belonging to publication Lagerqvist Alidoost A, Hacke M, Winther T, Sandström T (2023) A closer look at the Azzolino collection. PLOS ONE 18(4): e0283539. https://doi.org/10.1371/journal.pone.028353

    XRF maps and line scans project files belonging to XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents.

    No full text
    RTX Project files. Details given in supporting information  S2 File. XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents. https://doi.org/10.1371/journal.pone.0283539.s002 (DOCX) Belonging to publication  Lagerqvist Alidoost A, Hacke M, Winther T, Sandström T (2023) A closer look at the Azzolino collection. PLOS ONE 18(4): e0283539. https://doi.org/10.1371/journal.pone.028353

    The topological derivative and its applications to fracture-based analysis and design

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    This thesis discusses the topological derivative and its application to fracture-based analysis and design. The topological derivative describes the variation of a response functional with respect to infinitesimal changes in topology, such as the introduction of an infinitesimal crack or hole. In a previous work, Silva et al. [1] developed a first-order approximation of the energy release rate field in a two-dimensional domain associated with a small edge crack at any boundary location and any orientation. In this thesis, we extend this work. We first develop higher-precision approximations of the energy release rate field using higher-order topological derivatives, which allow the analyst to accurately treat longer cracks and determine the crack lengths for which the first-order approximation is accurate. These higher-order topological derivatives are calculated using the so-called topological-shape sensitivity method [2]. We next propose an approximation of the energy release rate field in a three-dimensional domain associated with a small surface crack of any boundary location, direction, and orientation combination using the topological derivative. This approximation is computationally attractive because it only requires a single analysis. By contrast, current boundary element and finite element based methods require an analysis for each crack length-location-direction combination. Furthermore, this approximation is evaluated on the non-cracked domain, obviating the need for refined meshes in the crack tip region. We conclude by leveraging the efficiency and simplicity of the proposed approximation to develop a fracture- and gradient-based shape optimization scheme for the design of fracture-resistant linearly elastic structures. A key characteristic of the shape optimization scheme presented in this thesis is that the domain and its boundary are defined implicitly using level-set functions constructed with the aid of R-functions, which allow for the use of differentiable Boolean operations to combine the level-set functions of predefined simple geometries. This adoption of R-functions has the dual impact of (i) allowing shapes to merge and/or separate and (ii) simplifying the computation of the shape velocity fields.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-12-01The student, Kazem Alidoost, accepted the attached license on 2020-09-08 at 18:53.The student, Kazem Alidoost, submitted this Dissertation for approval on 2020-09-08 at 19:07.This Dissertation was approved for publication on 2020-09-15 at 14:16.DSpace SAF Submission Ingestion Package generated from Vireo submission #15804 on 2021-03-04 at 16:30:14Made available in DSpace on 2021-03-05T21:45:09Z (GMT). No. of bitstreams: 3 ALIDOOST-DISSERTATION-2020.pdf: 5472760 bytes, checksum: 06c5fbb676b624a666c0254b5c4235ad (MD5) LICENSE.txt: 4211 bytes, checksum: aadcb216c788c2a0792ba81f2bc4b34b (MD5) PROQUEST_LICENSE.txt: 4557 bytes, checksum: 78d5a5574cd3c40b67d32b6d2b2c4956 (MD5) Previous issue date: 2020-09-15Embargo set by: Seth Robbins for item 117266 Lift date: 2023-03-05T21:45:47Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 117266 Lift date: 2023-03-05T21:47:41Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemAuthor requested closed access (OA after 2yrs) in Vireo ETD systemLimite

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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
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