We describe a method for simulating first-order reversal curve (FORC) diagrams of interacting single-domain particles. Magnetostatic interactions are calculated in real space, allowing simulations to be performed for particle ensembles with arbitrary geometry. For weakly interacting uniaxial particles, the equilibrium magnetization at each field step is obtained by direct solution of the Stoner-Wohlfarth model, assuming a quasi-static distribution of interaction fields. For all other cases, the equilibrium magnetization is calculated using an approximate iterated solution to the Landau-Lifshitz-Gilbert equation. Multithreading is employed to allow multiple curves to be computed simultaneously, enabling FORC diagrams to be simulated in reaso...
First‐order reversal curve (FORC) diagrams of synthetic binary mixtures with single‐domain, vortex s...
We describe a quantitative magnetic unmixing method based on principal component analysis (PCA) of f...
We present a highly sensitive and accurate method for quantitativedetection and characterization of ...
First-order reversal curve (FORC) diagrams are constructed from a class of partial magnetic hysteres...
The diagnostic power of first‐order reversal curve (FORC) diagrams has recently been enhanced by an ...
Paleomagnetic and environmental magnetic studies are commonly conducted on samples containing mixtur...
The diagnostic power offirst‐order reversal curve (FORC) diagrams has recently beenenhanced by an ex...
First-order reversal curves (FORCs) are a characterization technique for magnetic materials used in ...
First-order reversal curve (FORC) diagrams are increasingly used as a material’s magnetic domain sta...
The diagnostic power of first-order reversal curve (FORC) diagrams has recently been enhanced by an ...
Theoretical first-order reversal curves (FORCs) were generated by numerically solving a thermally ac...
We describe a quantitative magnetic unmixing method based on principal component analysis (PCA) of f...
First-order reversal curve (FORC) diagrams were modelled and experimentally measured for different a...
First-order reversal curve (FORC) diagrams for mixtures of different magnetic phases and bimodal dis...
First-order reversal curve (FORC) diagrams for mixtures of different magnetic phases and bimodal dis...
First‐order reversal curve (FORC) diagrams of synthetic binary mixtures with single‐domain, vortex s...
We describe a quantitative magnetic unmixing method based on principal component analysis (PCA) of f...
We present a highly sensitive and accurate method for quantitativedetection and characterization of ...
First-order reversal curve (FORC) diagrams are constructed from a class of partial magnetic hysteres...
The diagnostic power of first‐order reversal curve (FORC) diagrams has recently been enhanced by an ...
Paleomagnetic and environmental magnetic studies are commonly conducted on samples containing mixtur...
The diagnostic power offirst‐order reversal curve (FORC) diagrams has recently beenenhanced by an ex...
First-order reversal curves (FORCs) are a characterization technique for magnetic materials used in ...
First-order reversal curve (FORC) diagrams are increasingly used as a material’s magnetic domain sta...
The diagnostic power of first-order reversal curve (FORC) diagrams has recently been enhanced by an ...
Theoretical first-order reversal curves (FORCs) were generated by numerically solving a thermally ac...
We describe a quantitative magnetic unmixing method based on principal component analysis (PCA) of f...
First-order reversal curve (FORC) diagrams were modelled and experimentally measured for different a...
First-order reversal curve (FORC) diagrams for mixtures of different magnetic phases and bimodal dis...
First-order reversal curve (FORC) diagrams for mixtures of different magnetic phases and bimodal dis...
First‐order reversal curve (FORC) diagrams of synthetic binary mixtures with single‐domain, vortex s...
We describe a quantitative magnetic unmixing method based on principal component analysis (PCA) of f...
We present a highly sensitive and accurate method for quantitativedetection and characterization of ...