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Shimming Halbach magnets utilizing genetic algorithms to profit from material imperfections

[Display omitted] •Shimming method employing discrete rotations of magnets external to an NMR Mandhala.•A genetic algorithm configures the shim unit to correct the primary magnetic field.•Magnet imperfections can be used to improve field homogeneity of the ideal Mandhala. In recent years, permanent...

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Published in:Journal of magnetic resonance (1997) 2016-04, Vol.265, p.83-89
Main Authors: Parker, Anna J., Zia, Wasif, Rehorn, Christian W.G., Blümich, Bernhard
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Language:English
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cited_by cdi_FETCH-LOGICAL-c386t-cd65559a22352d8b0d7571654dbb724cc0b68a5888b16274c6217349abaa9f7d3
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container_end_page 89
container_issue
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container_title Journal of magnetic resonance (1997)
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creator Parker, Anna J.
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Blümich, Bernhard
description [Display omitted] •Shimming method employing discrete rotations of magnets external to an NMR Mandhala.•A genetic algorithm configures the shim unit to correct the primary magnetic field.•Magnet imperfections can be used to improve field homogeneity of the ideal Mandhala. In recent years, permanent magnet-based NMR spectrometers have resurfaced as low-cost portable alternatives to superconducting instruments. While the development of these devices as well as clever shimming methods have yielded impressive advancements, scaling the size of these magnets to miniature lengths remains a problem to be addressed. Here we present the results of a study of a discrete shimming scheme for NMR Mandhalas constructed from a set of individual magnet blocks. While our calculations predict a modest reduction in field deviation by a factor of 9.3 in the case of the shimmed ideal Mandhala, a factor of 28 is obtained in the case of the shimmed imperfect Mandhala. This indicates that imperfections of magnet blocks can lead to improved field homogeneity. We also present a new algorithm to improve the homogeneity of a permanent magnet assembly. Strategies for future magnet construction can improve the agreement between simulation and practical implementation by using data from real magnets in these assemblies as the input to such an algorithm to optimize the homogeneity of a given design.
doi_str_mv 10.1016/j.jmr.2016.01.014
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source ScienceDirect Freedom Collection
subjects Algorithms
Assembly
Construction
Defects
Deviation
Halbach magnet
Homogeneity
Magnets
NMR Mandhala
Nuclear magnetic resonance
Portable NMR
Shimming
title Shimming Halbach magnets utilizing genetic algorithms to profit from material imperfections
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