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  2. Topologically optimized magnetic lens for magnetic resonance applications (DataSet)
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    Datenpaket: Topologically optimized magnetic lens for magnetic resonance applications (DataSet)

    Alternativer Identifier:
    (KITopen-DOI) 10.5445/IR/1000142493
    Verwandter Identifier:
    -
    Ersteller/in:
    Wadhwa, Sagar [Wadhwa, Sagar]

    Jouda, Mazin [Jouda, Mazin]

    Deng, Yongbo [Deng, Yongbo]

    Nassar, Omar [Nassar, Omar]

    Mager, Dario https://orcid.org/0000-0001-9487-3723 [Mager, Dario]

    Korvink, Jan G. [Korvink, Jan G.]
    Beitragende:
    (Other)
    Wadhwa, Sagar [Wadhwa, Sagar]

    (Other)
    Jouda, Mazin [Jouda, Mazin]

    (Other)
    Deng, Yongbo [Deng, Yongbo]

    (Other)
    Nassar, Omar [Nassar, Omar]

    (Other)
    Mager, Dario https://orcid.org/0000-0001-9487-3723 [Mager, Dario]

    (Other)
    Korvink, Jan G. [Korvink, Jan G.]
    Titel:
    Topologically optimized magnetic lens for magnetic resonance applications (DataSet)
    Weitere Titel:
    -
    Beschreibung:
    (Abstract) Improvements to the signal-to-noise ratio of magnetic resonance detection lead to a strong reduction in measurement time, yet as a sole optimization goal for resonator design, it would be an oversimplification of the problem at hand. Multiple constraints, for example for field homogeneity and sample shape, suggest the use of numerical optimization to obtain resonator designs that deliver the intended improvement. Here we consider the 2D Lenz lens to be a sufficiently broadband flux transforming interposer between the sample and a radiofrequency (RF) circuit and to be a flexible and easily manufacturable device family with which to mediate different design requirements.We report on a method to apply topology optimization to determine the optimal layout of a Lenz lens and demonstrate realizations for both low- (45 MHz) and high-frequency (500 MHz) nuclear magnetic resonance.
    (Technical Remarks) Folder Contains the Images, and the text file used for the corresponding images
    Schlagworte:
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    Sprache:
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    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Engineering
    Objekttyp:
    Dataset
    Datenquelle:
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    Verwendete Software:
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    Datenverarbeitung:
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    Erscheinungsjahr:
    Rechteinhaber/in:
    Wadhwa, Sagar

    Jouda, Mazin

    Deng, Yongbo

    Nassar, Omar

    Korvink, Jan G.
    Förderung:
    -
    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    kitopen
    Erstellt am:
    Archivierungsdatum:
    2023-06-21
    Archivgröße:
    25,0 MB
    Archiversteller:
    kitopen
    Archiv-Prüfsumme:
    6575fe9b9ed8b172736342c5220a390c (MD5)
    Embargo-Zeitraum:
    -