Characterization of hematite (α-Fe2O3), goethite (α-FeOOH), greigite (Fe3S4), and pyrrhotite (Fe7S8) using first-order reversal curve diagrams
By A. Roberts, Qingsong Liu, C. J. Rowan, Liao Chang, C. Carvallo, J. Torrent, C. Horng. 2006
143 citations recorded by the source corpus.
Subfields: Geophysics, Molecular Biology, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/d5441060e3b1a118333dcc3e4af9f96cd1d5ee2c
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In Molecular Biology
Citations in the corpus
- Environmental magnetism: Principles and applications (2012, methodology): “For example, such a pattern is indicated by strongly interacting greigite particles in natural samples [Roberts et al., 2006].”
- Understanding fine magnetic particle systems through use of first‐order reversal curve diagrams (2014, background): “…Church et al., 2011], hematite [Muxworthy et al., 2005; Roberts et al., 2006; Brownlee et al., 2011], goethite [Roberts et al., 2006], greigite [Roberts et al., 2006, 2011b; Rowan and Roberts, 2006; Chang et al., 2007, 2009; Vasiliev et al., 2007], pyrrhotite [Weaver et al., 2002;Wehland et…”
- Searching for single domain magnetite in the “pseudo‐single‐domain” sedimentary haystack: Implications of biogenic magnetite preservation for sediment magnetism and relative paleointensity determinations (2012, background): “Their weak magnetizations also minimize the likelihood of magnetostatic interactions [Muxworthy et al., 2005; Roberts et al., 2006].”
- Detection of noninteracting single domain particles using first‐order reversal curve diagrams (2010, background): “FORC diagrams of sediments containing SD greigite usually have strong interaction features, often accompanied by a downward shift of the central maximum [Roberts et al., 2000, 2006; Rowan and Roberts, 2006; Florindo et al., 2007; Vasiliev et al., 2007].”
- FORCinel: An improved algorithm for calculating first‐order reversal curve distributions using locally weighted regression smoothing (2008, background): “…magnetic components within individual samples [Muxworthy et al., 2005], preselect samples for paleointensity studies [Wehland et al., 2005; Carvallo et al., 2006], determine magnetic domain states [Acton et al., 2007a, 2007b], and distinguish different mineral phases [Roberts et al., 2006].”
- What do the HIRM and S‐ratio really measure in environmental magnetism? (2007, methodology): “Ambiguities resulting from coercivity overlaps [e.g., Roberts et al., 2006] in mixed mineral 8 of 10 assemblages can often be efficiently removed using a range of thermomagnetic techniques [e.g., Larrasoaña et al., 2003a].”