We present a highly sensitive and accurate method for quantitativedetection and characterization of noninteracting or weakly interactinguniaxial single domain particles (UNISD) in rocks and sediments. Themethod is based on high-resolution measurements of first-order reversalcurves (FORCs). UNISD particles have a unique FORC signature that can beused to isolate their contribution among other magnetic components. Thissignature has a narrow ridge along the H(c) axis of the FORC diagram,called the central ridge, which is proportional to the switching fielddistribution of the particles. Therefore, the central ridge is directlycomparable with other magnetic measurements, such as remanentmagnetization curves, with the advantage of being fully sele...
The diagnostic power of first‐order reversal curve (FORC) diagrams has recently been enhanced by an ...
First-order reversal curve (FORC) diagrams are constructed from a class of partial magnetic hysteres...
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 ...
We present a highly sensitive and accurate method for quantitativedetection and characterization of ...
We present a highly sensitive and accurate method for quantitativedetection and characterization of ...
High-resolution first-order reversal curve (FORC) diagrams are being increasingly used in rock and e...
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...
[[sponsorship]]地球科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Ga...
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 are increasingly used as a material’s magnetic domain sta...
First-order reversal curve (FORC) diagrams were modelled and experimentally measured for different a...
First-order reversal curve (FORC) diagrams are used increasingly in geophysics for magnetic domain s...
The diagnostic power of first‐order reversal curve (FORC) diagrams has recently been enhanced by an ...
First-order reversal curve (FORC) diagrams are constructed from a class of partial magnetic hysteres...
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 ...
We present a highly sensitive and accurate method for quantitativedetection and characterization of ...
We present a highly sensitive and accurate method for quantitativedetection and characterization of ...
High-resolution first-order reversal curve (FORC) diagrams are being increasingly used in rock and e...
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...
[[sponsorship]]地球科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Ga...
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 are increasingly used as a material’s magnetic domain sta...
First-order reversal curve (FORC) diagrams were modelled and experimentally measured for different a...
First-order reversal curve (FORC) diagrams are used increasingly in geophysics for magnetic domain s...
The diagnostic power of first‐order reversal curve (FORC) diagrams has recently been enhanced by an ...
First-order reversal curve (FORC) diagrams are constructed from a class of partial magnetic hysteres...
We describe a quantitative magnetic unmixing method based on principal component analysis (PCA) of f...