Time-dependent picture for trapping of an anomalous massive system

Slides:



Advertisements
Similar presentations
Toward a Dynamics of Emergence - On the long way I walked along with Professor Zhuo - Fumihiko Sakata Professor Emeritus, Ibaraki University Member of.
Advertisements

Meanings of the Derivatives. I. The Derivative at the Point as the Slope of the Tangent to the Graph of the Function at the Point.
Formulation of an algorithm to implement Lowe-Andersen thermostat in parallel molecular simulation package, LAMMPS Prathyusha K. R. and P. B. Sunil Kumar.
Biological fluid mechanics at the micro‐ and nanoscale Lecture 7: Atomistic Modelling Classical Molecular Dynamics Simulations of Driven Systems Anne Tanguy.
Heat flow in chains driven by noise Hans Fogedby Aarhus University and Niels Bohr Institute (collaboration with Alberto Imparato, Aarhus)
The Plasma Effect on the Rate of Nuclear Reactions The connection with relaxation processes, Diffusion, scattering etc.
Time-dependent picture for trapping of an anomalous massive system into a metastable well Jing-Dong Bao Department of Physics, Beijing.
Incorporating Solvent Effects Into Molecular Dynamics: Potentials of Mean Force (PMF) and Stochastic Dynamics Eva ZurekSection 6.8 of M.M.
Optical Tweezers F scatt F grad 1. Velocity autocorrelation function from the Langevin model kinetic property property of equilibrium fluctuations For.
Stochastic Field Theory of Metal Nanostructures Seth Merickel Mentors: Dr. Charles Stafford and Dr. Jérôme Bürki May 3, 2007 TexPoint fonts used in EMF.
Fluctuations and Brownian Motion 2  fluorescent spheres in water (left) and DNA solution (right) (Movie Courtesy Professor Eric Weeks, Emory University:
Advanced methods of molecular dynamics Monte Carlo methods
Kramers Problem in anomalous dynamics Sliusarenko O.Yu. Akhiezer Institute for Theoretical Physics NSC KIPT, Kharkiv, Ukraine.
Role of mass asymmetry in fusion of super-heavy nuclei
2. Lecture SS 2006 GK Advanced rate theory Reviews in Modern Physics 62, (1990)
Stochastic Structural Dynamics and Some Recent Developments Y. K. Lin Center for Applied Stochastics Research Florida Atlantic University Boca Raton, FL.
ChE 452 Lecture 24 Reactions As Collisions 1. According To Collision Theory 2 (Equation 7.10)
Quantum Monte-Carlo for Non-Markovian Dynamics Collaborator : Denis Lacroix Guillaume Hupin GANIL, Caen FRANCE  Exact  TCL2 (perturbation)  TCL4  NZ2.
A subordination approach to modelling of subdiffusion in space-time-dependent force fields Aleksander Weron Marcin Magdziarz Hugo Steinhaus Center Wrocław.
Aim  to compare our model predictions with the measured (Dubna and GSI) evaporation cross sections for the 48 Ca Pb reactions. Calculations.
Excitation of ion temperature gradient and trapped electron modes in HL-2A tokamak The 3 th Annual Workshop on Fusion Simulation and Theory, Hefei, March.
Atkins’ Physical Chemistry Eighth Edition Chapter 21 – Lecture 1 Molecules in Motion Copyright © 2006 by Peter Atkins and Julio de Paula Peter Atkins Julio.
Nonlinear Dynamics in Mesoscopic Chemical Systems Zhonghuai Hou ( 侯中怀 ) Department of Chemical Physics Hefei National Lab of Physical Science at Microscale.
Frank L. H. Brown University of California, Santa Barbara Brownian Dynamics with Hydrodynamic Interactions: Application to Lipid Bilayers and Biomembranes.
Experimental results on the fluctuations in two out of equilibrium systems S. Joubaud, P.Jop, A. Petrossyan and S.C. Laboratoire de Physique, ENS de Lyon,
Isotope dependence of the superheavy nucleus formation cross section LIU Zu-hua( 刘祖华) (China Institute of Atomic Energy)
Adam Gadomski Institute of Mathematics and Physics University of Technology and Agriculture Bydgoszcz, Poland Kinetics of growth process controlled by.
Lecture III Trapped gases in the classical regime Bilbao 2004.
The Problem of Constructing Phenomenological Equations for Subsystem Interacting with non-Gaussian Thermal Bath Alexander Dubkov Nizhniy Novgorod State.
Effects of correlation between halo merging steps J. Pan Purple Mountain Obs.
2. Brownian Motion 1.Historical Background 2.Characteristic Scales Of Brownian Motion 3.Random Walk 4.Brownian Motion, Random Force And Friction: The Langevin.
ChE 452 Lecture 25 Non-linear Collisions 1. Background: Collision Theory Key equation Method Use molecular dynamics to simulate the collisions Integrate.
Fokker-Planck Equation and its Related Topics
Chapter 5: Quantum Mechanics
Fractional Feynman-Kac Equation for non-Brownian Functionals IntroductionResults Applications See also: L. Turgeman, S. Carmi, and E. Barkai, Phys. Rev.
With S. Mavrodiev (INRNE, BAS, Sofia, Bulgaria D. Vlasenko (NPU, Odessa, Ukraine) M. Deliyergiyev (NPU, Odessa, Ukraine) Kramers Diffusive Mechanism of.
Theory of Nanoscale Friction Theory of Nanoscale Friction Mykhaylo Evstigneev CAP Congress University of Ottawa June 14, 2016.
HIRG 重离子反应组 Heavy Ion Reaction Group GDR as a Probe of Alpha Cluster in Light Nuclei Wan-Bing He ( 何万兵 ) SINAP-CUSTIPEN Collaborators : Yu-Gang.
PHY Statistical Mechanics 12:00* - 1:45 PM TR Olin 107
Non-equilibrium theory of rheology for non-Brownian dense suspensions
Diffusion over potential barriers with colored noise
Multiscale Modelling of Nanostructures on Surfaces
PHY Statistical Mechanics 12:00* - 1:45 PM TR Olin 107
New Insights Into the (Old)
Open quantum systems.
Dynamic Scaling of Surface Growth in Simple Lattice Models
Monte Carlo methods 10/20/11.
Structure and dynamics from the time-dependent Hartree-Fock model
Distributed time-delay in Non-linear Population Models
Generation of Toroidal Rotation by Gas Puffing
The continuum time-dependent Hartree-Fock method for Giant Resonances
GEANT4-DNA New physics models …from cell to DNA Christophe Champion
Efficient Sampling of Quantum Systems Using Path Integral Molecular Dynamics: Application to Weakly Bound Systems r θ Christopher Ing, Konrad Hinsen*,
Intermittency and clustering in a system of self-driven particles
Martin Čížek Charles University Prague
Optimal search strategies for hidden targets
Quantum mechanics II Winter 2012
Ehud Altman Anatoli Polkovnikov Bertrand Halperin Mikhail Lukin
Effect of Friction on Neutron Emission in Fission of Heavy nuclei
Lecture 17: Kinetics and Markov State Models
Symmetry of lattice vibrations
Introduction to fractional Brownian Motion for Terrain
Statistical Data Analysis: II
IPAM workshop IV: Molecular Machines. May 23-28, 2004
Biointelligence Laboratory, Seoul National University
PHY 752 Solid State Physics Plan for Lecture 28: Chap. 9 of GGGPP
Multiscale modeling of hydrogen isotope transport in porous graphite
The fission rate in multi-dimensional Langevin calculations
Cosmological Scaling Solutions
Resonance properties of metallic ring systems: A rigorous approach
Presentation transcript:

Time-dependent picture for trapping of an anomalous massive system into a metastable well Jing-Dong Bao (jdbao@bnu.edu.cn) Department of Physics, Beijing Normal University 2005. 8. 19 – 21 Beijing

The scale theory Barrier passage dynamics Overshooting and backflow Survival probability in a metastable well

1. The model (anomalous diffusion) saddle exit ground state A metastable potential:

What is an anomalous massive system? (i) The generalized Langevin equation Here we consider non-Ohmic model(    ) (ii) the fractional Langevin equation memory effect, underdamped J. D. Bao, Y. Z. Zhuo: Phys. Rev. Lett. 91, 138104 (2003). Jing-Dong Bao, Yi-Zhong Zhuo: Phys. Rev. C 67, 064606 (2003).

(iii) Fractional Fokker-Planck equation 这里  是一个     分数导数,即黎曼积分 Jing-Dong Bao: Europhys. Lett. 67, 1050 (2004). Jing-Dong Bao: J. Stat. Phys. 114, 503 (2004).

Jing-Dong Bao, Yan Zhou: Phys. Rev. Lett. 94, 188901 (2005). Fractional Brownian motion Normal Brownian motion Jing-Dong Bao, Yan Zhou: Phys. Rev. Lett. 94, 188901 (2005).

The potential applications: Here we add an inverse and anomalous Kramers problem and report some analytical results, i.e., a particle with an initial velocity passing over a saddle point, trapping in the metastable well and then escape out the barrier. The potential applications: (a) Fusion-fission of massive nuclei; (b) Collision of molecular systems; (c) Atomic clusters; (d) Stability of metastable state, etc.

The scale theory (1) At beginning time: the potential is approximated to be an inverse harmonic potential, i.e., a linear GLE; (2) In the scale region (descent from saddle point to ground state) , the noise is neglected, i.e., a deterministic equation; (3) Finally, the escape region, the potential around the ground state and saddle point are considered to be two linking harmonic potentials, (also linear GLE).

2. Barrier passage process J. D. Bao, D. Boilley, Nucl. Phys. A 707, 47 (2002). D. Boilley, Y. Abe, J. D. Bao, Eur. Phys. J. A 18, 627 (2004).

The response function is given by

Where is the anomalous fractional constant ; The effective friction constant is written as

The passing probability (fusion probability) over the saddle point is defined by It is also called the characteristic function

normal diffusion Passing Probability subdiffusion

J. D. Bao, P. Hanggi, to be appeared in Phys. Rev. Lett. (2005) 3. Overshooting and backflow * For instance, quasi-fission mechanism J. D. Bao, P. Hanggi, to be appeared in Phys. Rev. Lett. (2005)

4. Survival probability in a metastable well We use Langevin Monte Carlo method to simulate the complete process of trapping of a particle into a metastable well x

J.D. Bao et. al., to be appeared in PRE (2005).

Summary 1. The passage barrier is a slow process, which can be described by a subdiffusion; 2. When a system has passed the saddle point, anomalous diffusion makes a part of the distribution back out the barrier again, a negative current is formed; 3. Thermal fluctuation helps the system pass over the saddle point, but it is harmful to the survival of the system in the metastable well.

Thank you !