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Multiple contact kernel for diffusionlike aggregation

Schmitt1, Odriozola, Moncho-Jorda

  • 1Departamento de Fisica Aplicada, Universidad de Granada, Campus de Fuentenueva, E-18071 Granada, Spain.

Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
|January 4, 2001
PubMed
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The standard Brownian kernel accurately models simulated aggregation but fails for experimental data. A new kernel accounting for monomer-monomer interactions improves experimental data description.

Area of Science:

  • Colloid and Interface Science
  • Physical Chemistry
  • Materials Science

Background:

  • The Brownian kernel typically models diffusion-limited cluster-aggregation (DLCA).
  • This model assumes negligible inter-particle interactions above the critical coagulation concentration.
  • Experimental aggregation data often deviates from standard DLCA predictions.

Purpose of the Study:

  • To investigate the validity of the Brownian kernel for simulated versus experimental aggregation data.
  • To develop an improved aggregation kernel that better describes experimental observations.
  • To incorporate monomer-monomer sticking probability and multiple contact events into aggregation models.

Main Methods:

  • Simulated aggregation data was generated and analyzed using the standard Brownian kernel.

Related Experiment Videos

  • Experimental aggregation data was collected and compared against the standard Brownian kernel.
  • A modified kernel was developed, explicitly including monomer-monomer sticking probability and multiple contact effects.
  • The performance of the new kernel was evaluated against experimental cluster-size distributions and scaling functions.

    • Main Results:

    • The Brownian kernel accurately described simulated aggregation data.
    • Significant deviations were observed between the Brownian kernel and experimental aggregation data, even at high electrolyte concentrations.
    • The proposed modified kernel showed excellent agreement with experimental cluster-size distributions.
    • The new kernel successfully captured the scaling function for the experimental system.

    Conclusions:

    • The standard Brownian kernel is insufficient for describing real experimental aggregation systems due to residual cluster-cluster interactions.
    • A refined aggregation kernel, incorporating monomer-monomer sticking probability and multiple contact events, provides a superior description of experimental data.
    • This work highlights the importance of accounting for detailed interaction mechanisms in aggregation modeling for accurate predictions.