FORCinel: An improved algorithm for calculating first‐order reversal curve distributions using locally weighted regression smoothing

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Understanding fine magnetic particle systems through use of first‐order reversal curve diagrams (2014, methodology): “Recent FORC calculation algorithms enable removal of individual FORCs that are affected by such problems, which avoids their overall damaging effect on the quality of calculated FORC diagrams [e.g., Harrison and Feinberg, 2008; Heslop and Roberts, 2012a; Egli, 2013].”
Detection of noninteracting single domain particles using first‐order reversal curve diagrams (2010, methodology): “Other choices of Q(x, y) are possible; for example, Q(r) = (1 r3) 3 is used by the FORCinel algorithm [Harrison and Feinberg, 2008], where r is proportional to the Euclidean distance between coordinates.”
Biomineralization, crystallography and magnetic properties of bullet-shaped magnetite magnetosomes in giant rod magnetotactic bacteria (2010, methodology): “FORC diagrams were calculated by using the FORCinel version 1.05 software with a smoothing factor of 3 (Harrison and Feinberg, 2008).”