Physical interpretation of hysteresis loops: Micromagnetic modeling of fine particle magnetite
By Lisa Tauxe, H. Bertram, C. Seberino. 2001
203 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Geophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/8152c27d8c09dfed32e7d9b700355763527e80e1
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In Biomedical Engineering
In Geophysics
In Molecular Biology
Citations in the corpus
- A Critical Appraisal of the “Day” Diagram (2017, methodology): “Intriguingly, this trend for sedimentary and volcanic data falls on a line calculated here for mixtures of MD magnetite and SD particles with cubic anisotropy (for parameters, see Table 1), or the multiaxial anisotropy proposed by Tauxe et al. (2002), rather than on the lines of Dunlop (2002a).”
- Understanding fine magnetic particle systems through use of first‐order reversal curve diagrams (2014, background): “Some authors consider the flower and vortex states to provide a more feasible explanation [e.g., Tauxe et al., 2002] than the many traditional explanations for widely observed PSD behavior [e.g., Halgedahl and Fuller, 1983; Dunlop, 1986].”
- Toward an optimal geomagnetic field intensity determination technique (2004, background): “In practice, only uniformly magnetized particles and perhaps also particles whose remanence state is ‘‘flower’’ [see Schabes and Bertram, 1988; Tauxe et al., 2002] satisfy reciprocity.”
- Resolving the Origin of Pseudo‐Single Domain Magnetic Behavior (2017, background): “Although this explanation has been accepted by some paleomagnetists (e.g., Tauxe et al., 2002), it has not been accepted universally in the paleomagnetism community despite widespread appreciation of information derived from micromagnetic simulations.”
- Ferromagnetic resonance and low-temperature magnetic tests for biogenic magnetite (2004, methodology): “Hysteresis loops [25,26], in which the sample’s magnetization is measured as a function of applied field, were used to confirm the crystal size and mineralogy of selected samples as a control for interpreting the Moskowitz test and FMR data.”