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Spatial Separation of Molecular Conformers and Clusters
10:37

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Published on: January 9, 2014

Target annihilation by diffusing particles in inhomogeneous geometries.

Davide Cassi1

  • 1Dipartimento di Fisica, Università di Parma, Viale Usberti 7/a, 43100 Parma, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 13, 2009
PubMed
Summary
This summary is machine-generated.

The survival probability of random walkers on complex structures depends on the spectral dimension (d). For recurrent structures (d≤2), survival is site-independent, while for transient structures (d>2), it depends on the target

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Area of Science:

  • Physics
  • Materials Science
  • Statistical Mechanics

Background:

  • Random walks are fundamental models for diffusion and transport in disordered systems.
  • Understanding target annihilation dynamics is crucial for processes in complex materials.

Purpose of the Study:

  • To analytically investigate the survival probability of immobile targets in random walks on inhomogeneous discrete structures.
  • To establish a relationship between survival probability and the spectral dimension of these structures.

Main Methods:

  • Analytical investigation of random walker populations.
  • Focus on inhomogeneous discrete structures like disordered solids, glasses, fractals, polymer networks, and gels.
  • Derivation of asymptotic behavior for survival probability at large times.

Main Results:

  • Survival probability cannot generally be linked to distinct visited points on inhomogeneous structures.
  • Asymptotic survival probability is expressible using the spectral dimension (d) for bounded coordination numbers.
  • Site-independent survival for recurrent structures (d≤2), and position-dependent survival for transient structures (d>2).

Conclusions:

  • The spectral dimension (d) is a key parameter governing random walker survival probability on complex structures.
  • The derived analytical expressions provide insights into annihilation dynamics in disordered materials.
  • Explicit calculation of target position dependence on transient structures offers predictive capabilities.