An investigation of multi-domain hysteresis mechanisms using FORC diagrams
By C. R. Pike, A. Roberts, M. Dekkers, K. Verosub. 2001
191 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Electronic, Optical and Magnetic Materials
View Paper: https://www.semanticscholar.org/paper/5430378d12d72f8c09aa703ee67999ea9e594f84
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
In Condensed Matter Physics
In Electronic, Optical and Magnetic Materials
- A. Roberts
- D. Heslop
- RichardJ . Harrison
- Joshua Feinberg
- Xiang Zhao
- C. R. Pike
- A. Muxworthy
- D. Dunlop
Citations in the corpus
- Reliable absolute palaeointensities independent of magnetic domain state (2006, background): “A first-order-reversal-curve (FORC) diagram [34] shows the dominant vertical contour density at low coercive forces very reminiscent of the FORC diagram acquired by [35] for a 2 mmmagnetite crystal.”
- First-order reversal curve (FORC) diagrams for pseudo-single-domain magnetites at high temperature (2002, methodology): “The behavior of the larger grains is consistent with observations on MD grains [10].”
- Understanding fine magnetic particle systems through use of first‐order reversal curve diagrams (2014, methodology): “…et al. [1999] obtained an analytical solution for a Preisach [1935] distribution (roughly equivalent to a FORC distribution) for the DW pinning model, which demonstrates that a FORC diagram will have a purely vertical form that will be a decreasing function of coercivity [Pike et al., 2001b].”
- Environmental magnetism: Principles and applications (2012, methodology): “A large data catalog now exists to assist identification of magnetic mineral components in natural samples using FORC diagrams [e.g., Roberts et al., 2000, 2006; Pike et al., 2001a, 2001b;Muxworthy et al., 2005; Yamazaki, 2009; Egli et al., 2010].”
- FORCinel: An improved algorithm for calculating first‐order reversal curve distributions using locally weighted regression smoothing (2008, methodology): “…The improved at the H c = 0 axis provided by the LOESS method enhances the FORC technique’s sensitivity to the presence of viscous and multidomain grains, both of which produce real signals close to the H c = 0 axis that are often obscured by the reversible ridge [ Pike et al. , 2001a, 2001b].”
- Increasing the efficiency of paleointensity analyses by selection of samples using first-order reversal curve diagrams (2006, background): “For materials with large grains and strong domain wall pinning (e.g., transformer steel), the FORC distribution has nearly vertical contours with the peak close to Hc = 0 [Pike et al., 2001a].”