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Related Concept Videos

Elastic Collisions: Introduction01:00

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An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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Types of Collisions - II01:19

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When two or more objects collide with each other, they can stick together to form one single composite object (after collision). The total mass of the object after the collision is the sum of the masses of the original objects, and it moves with a velocity dictated by the conservation of momentum. Although the system's total momentum remains constant, the kinetic energy decreases, and thus such a collision is an inelastic collision. Most of the collisions between objects in daily life are...
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Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
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Types Of Collisions - I01:04

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When two objects come in direct contact with each other, it is called a collision. During a collision, two or more objects exert forces on each other in a relatively short amount of time. A collision can be categorized as either an elastic or inelastic collision. If two or more objects approach each other, collide and then bounce off, moving away from each other with the same relative speed at which they approached each other, the total kinetic energy of the system is said to be conserved. This...
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Collisions in Multiple Dimensions: Introduction01:05

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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...
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Elastic Collisions: Case Study01:15

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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...
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The Diffusion of Passive Tracers in Laminar Shear Flow
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Interface collisions with diffusive mass transport.

Bastien Marguet1, F D A Aarão Reis2, Olivier Pierre-Louis1

  • 1Institut Lumière Matière, UMR5306 Université Lyon 1-CNRS, Université de Lyon, 69622 Villeurbanne, France.

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Summary
This summary is machine-generated.

A new linear Langevin model simulates interface roughness during 2D material growth. It predicts distinct roughness behaviors based on growth speed, revealing three distinct growth regimes and grain boundary formation.

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Area of Science:

  • Materials Science
  • Surface Physics
  • Computational Modeling

Background:

  • Understanding interface dynamics is crucial for 2D material growth.
  • Grain boundary formation significantly impacts material properties.
  • Existing models may not fully capture the complex interface evolution during gap closure.

Purpose of the Study:

  • To develop a linear Langevin model for interface roughness.
  • To describe the formation of rough grain boundaries between 2D material domains.
  • To investigate the influence of growth speed on interface evolution.

Main Methods:

  • Developed a linear Langevin model.
  • Simulated deposition and diffusion of growth units.
  • Analyzed interface roughness evolution under varying growth rates.
  • Constructed a phase diagram of growth regimes.

Main Results:

  • Slow growth leads to monotonous roughness increase and saturation.
  • Fast growth shows a roughness peak before interface collision, followed by a minimum.
  • Identified three growth regimes: slow growth, peak dominated by fluctuations, and peak dominated by instabilities.
  • Model results align with kinetic Monte Carlo simulations.

Conclusions:

  • The linear Langevin model effectively describes interface roughness evolution.
  • Growth speed is a critical parameter determining roughness behavior and grain boundary characteristics.
  • The model provides insights into the mechanisms driving roughness and instability during 2D material growth.