magnetic properties of fe49co33ni18nanowire arraysstudied by first-order reversal curve diagrams

Magnetic Properties of Fe49Co33Ni18Nanowire ArraysStudied by First-Order Reversal Curve Diagrams

Fe49Co33Ni18 nanowire arrays (175 nm in diameter and lengths ranging from 5 to 32μm) were fabricated into nanopores of hard-anodized aluminum oxide templates using pulsed ac electrodeposition technique. Hysteresis loop measurements indicated that increasing the length decreases coercivity and squareness values (from 274 Oe and 0.58 to200 Oe and 0.105, respective...

First-order reversal-curve diagrams and reversible magnetization

First-order reversal curve ~FORC! diagrams have recently been used for the characterization of magnetic systems in both geology and physics. However, the FORC distribution involves a mixed second derivative which reduces the reversible component of the magnetization to zero. As a result, the FORC distribution is not properly normalized. Furthermore, the calculation of the FORC distribution beco...

First-order reversal curve diagrams and thermal relaxation effects in magnetic particles

We have recently developed a technique for characterizing the magnetic components within natural particle assemblages. This technique is based on the transformation of magnetization data from first-order reversal curves (FORCs) into contour plots of a 2-D distribution function (FORC diagrams). FORC diagrams are useful for obtaining information about switching fields and interactions in magnetic...

Increasing the efficiency of paleointensity analyses by selection of samples using first-order reversal curve diagrams

[1] The global paleointensity database is restricted by the high failure rate of paleointensity analyses. Excluding thermal alteration, failure is usually caused by the presence of multidomain grains and interactions among grains, two properties that can be identified using first-order reversal curve (FORC) diagrams. We measured FORC diagrams on sister samples of about 200 samples that had been...

Extracting Individual Properties from Global Behaviour: First-order Reversal Curve Method Applied to Magnetic Nanowire Arrays

The behaviour of a group cannot be simply reduced to the sum of the behaviour of individuals (Le Bon, 1895). Examples abound in nature: school of fish or swarms of insect act like a single individual, but with emergent properties, i.e. properties which none of the individuals in the group possess, but which appear when these individuals are grouped into a system. A key element characterising a ...

Characterization of Magnetic Nanostructured Materials by First Order Reversal Curve Method