Jove
Visualize
Contact Us
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

Related Experiment Videos

Mean escape time over a fluctuating barrier.

Jan Iwaniszewski1

  • 1Institute of Physics, Nicolaus Copernicus University, Grudziacedil;dzka 5, 87-100 Toruń, Poland. jiwanisz@phys.uni.torun.pl

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 4, 2003
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

Transient multimodality in the presence of potential fluctuations.

Physical review. E, Statistical, nonlinear, and soft matter physics·2008
Same author

Kinetic models for stochastically modified ionic channels.

Cellular & molecular biology letters·2008
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

A new approximate method models activation over fluctuating potential barriers by separating slow and fast fluctuations. This approach accurately predicts system behavior across all correlation times, validating with numerical simulations.

Area of Science:

  • Physical Chemistry
  • Chemical Kinetics
  • Statistical Mechanics

Background:

  • Understanding chemical reaction rates often involves analyzing potential energy barriers.
  • Fluctuations in these barriers can significantly impact reaction dynamics and kinetics.
  • Existing models may struggle with barriers that change over time (fluctuating barriers).

Purpose of the Study:

  • To develop a novel approximate method for studying chemical activation over fluctuating potential barriers.
  • To provide a versatile model applicable to various barrier fluctuation characteristics.
  • To validate the proposed method against established numerical techniques.

Main Methods:

  • The proposed method separates the fluctuating barrier into slow and fast components.

Related Experiment Videos

  • It analyzes the system's behavior based on the correlation time (tau) of these fluctuations.
  • The method is tested for both dichotomic (two-state) and Gaussian barrier perturbations.
  • Main Results:

    • The approximate method yields exact results in the limiting cases of very short (tau-->0) and very long (tau--> infinity) correlation times.
    • Excellent agreement is observed between the approximate method's predictions and numerical simulations for intermediate correlation times.
    • The method demonstrates robustness across different types of barrier fluctuations.

    Conclusions:

    • The developed approximate method offers an efficient and accurate way to study activation over fluctuating potential barriers.
    • This approach is broadly applicable, regardless of the correlation time of barrier fluctuations.
    • The findings provide a valuable tool for theoretical and computational studies in chemical kinetics and related fields.