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Related Concept Videos

Transport Number01:31

Transport Number

The transport number is the fraction of the total current carried by an ion in an electrolyte solution. It is defined as the ratio of the current carried by a specific ion to the total current flowing through the solution. The transport number, t, is central to understanding ionic mobility, which describes how fast an ion moves under the influence of an electric field. This link connects the physical behavior of ions in solution to the chemical processes that occur during electrochemical...
Carrier Transport01:21

Carrier Transport

The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Reynolds Transport Theorem01:24

Reynolds Transport Theorem

The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit mass.
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a problem,...

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Related Experiment Video

Updated: May 31, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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Collision-number statistics for transport processes.

A Zoia1, E Dumonteil, A Mazzolo

  • 1CEA/Saclay, DEN/DANS/DM2S/SERMA/LTSD, Gif-sur-Yvette, France. andrea.zoia@cea.fr

Physical Review Letters
|June 28, 2011
PubMed
Summary

This study derives a new formula for particle collisions in various domains, improving upon diffusion approximations for small collision numbers. The findings generalize existing residence time formulas and offer applications for different domain types.

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Area of Science:

  • Physics
  • Applied Mathematics
  • Statistical Mechanics

Background:

  • Physical observables are often modeled as random walks.
  • Diffusion approximations yield inaccurate results when particle collision counts are low before domain exit.

Purpose of the Study:

  • To derive an explicit formula for the moments of particle collisions within arbitrary volumes.
  • To generalize existing formulas for residence times in transport processes.

Main Methods:

  • Derivation of an explicit formula for collision moments.
  • Generalization of the Kac formula for residence time moments.

Main Results:

  • An explicit formula for the moments of the number of particle collisions is derived.
  • The derived formula generalizes the Kac formula.
  • The approach is applicable to bounded, unbounded, and absorbing domains.

Conclusions:

  • The new formula provides a more accurate method for calculating particle collisions compared to diffusion approximations in specific scenarios.
  • The work offers a generalized framework for analyzing transport processes and particle behavior in diverse domains.