Jove
Visualize
Contact Us

Related Experiment Videos

Blocking temperature in magnetic nanoclusters.

Burhan Bakar1, L F Lemmens

  • 1Departement Fysica, Universiteit Antwerpen, CMI Groenenborgerlaan 171, B-2020 Antwerpen, Belgium.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|May 21, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Analysis of self-organized criticality in Ehrenfest's dog-flea model.

Physical review. E, Statistical, nonlinear, and soft matter physics·2009
Same author

Density of a gas of spin-polarized fermions in a magnetic field.

Physical review. E, Statistical, nonlinear, and soft matter physics·2001
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

This study models super-paramagnetic transitions in magnetic clusters using a Markov process. A high initial entropy in the magnetization probability density function (PDF) correlates with a higher blocking temperature.

Area of Science:

  • Statistical Mechanics
  • Condensed Matter Physics
  • Quantum Chemistry

Background:

  • Non-extensive phase transitions in nuclei and nuclear clusters require compatible probability models.
  • Magnetic molecules exhibit complex behavior, necessitating models for their evolution.

Purpose of the Study:

  • To develop a probability model for magnetic molecules using a Markov process.
  • To investigate the probability density function (PDF) of magnetization and its relation to super-paramagnetic transitions.
  • To identify factors influencing the blocking temperature in magnetic clusters.

Main Methods:

  • Representing the evolution of magnetic molecules as a Markov process.
  • Analyzing the probability density function (PDF) of the order parameter (magnetization).

Related Experiment Videos

  • Correlating the number of modes in the PDF with the super-paramagnetic transition and blocking temperature.

    • Main Results:

    • The study establishes a link between the PDF modes and super-paramagnetic transitions.
    • Blocking temperature is found to be influenced by the high-temperature density of magnetization, not solely the Hamiltonian.
    • An initial PDF with high entropy results in a higher blocking temperature for magnetic clusters.

    Conclusions:

    • The Markov process provides a suitable probability model for studying super-paramagnetic transitions in magnetic molecules.
    • High initial entropy of the magnetization PDF is a key factor in determining a high blocking temperature.
    • This research offers insights into the factors governing magnetic cluster behavior and phase transitions.