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Related Concept Videos

The Product Rule01:24

The Product Rule

In calculus, the Product Rule provides a method for differentiating expressions that are the product of two functions. It states that the derivative of the product of two differentiable functions equals the first function times the rate of change of the second, plus the second function times the rate of change of the first.This rule ensures that the rate of change of the product accounts for the simultaneous variation of both functions.A compelling way to understand the Product Rule is through...
Consecutive Reactions01:22

Consecutive Reactions

Consecutive reactions involve a sequence where the product of a preceding reaction becomes the reactant for the subsequent one. In a simple scheme, A transforms into B, which further reacts to form C, with rate constants k1 and k2, respectively. This concept is evident in the radioactive decay series. Assuming an initial state with only A present, the conservation of matter leads to three coupled differential equations, determining the concentrations of A, B, and C over time.The rate of change...
Concentration and Rate Law03:03

Concentration and Rate Law

The rate of a reaction is affected by the concentrations of reactants. Rate laws (differential rate laws) or rate equations are mathematical expressions describing the relationship between the rate of a chemical reaction and the concentration of its reactants.
For example, in a generic reaction aA + bB ⟶ products, where a and b are stoichiometric coefficients, the rate law can be written as:
Precipitation of Ions03:11

Precipitation of Ions

Predicting Precipitation
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
Radical Formation: Elimination00:51

Radical Formation: Elimination

Another method of radical formation is the elimination process. It is the opposite of the addition route and is driven by the instability of the radical. For example, as depicted in Figure 1, dibenzoyl peroxide yields a pair of unstable radicals upon homolysis. Given its instability, this radical spontaneously undergoes elimination via a C–C bond cleavage to form a relatively more stable phenyl radical. The mechanism involves cleavage of the bond between the α and β positions with respect to...
The Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

While the differential rate law relates the rate and concentrations of reactants, a second form of rate law called the integrated rate law relates concentrations of reactants and time. Integrated rate laws can be used to determine the amount of reactant or product present after a period of time or to estimate the time required for a reaction to proceed to a certain extent. For example, an integrated rate law helps determine the length of time a radioactive material must be stored for its...

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Related Experiment Video

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Research and Development of High-performance Explosives
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Published on: February 20, 2016

Explosive site percolation with a product rule.

Woosik Choi1, Soon-Hyung Yook, Yup Kim

  • 1Department of Physics and Research Institute for Basic Sciences, Kyung Hee University, Seoul 130-701, Korea.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 21, 2011
PubMed
Summary

This study investigates site percolation using the Achlioptas process and a product rule on a 2D lattice. Results reveal a discontinuous phase transition, distinct from sum rule transitions.

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Area of Science:

  • Statistical Physics
  • Complex Systems
  • Network Science

Background:

  • Percolation theory models connectivity in random networks.
  • Achlioptas processes introduce dynamic rules for network growth.
  • Understanding phase transitions is crucial for complex system analysis.

Purpose of the Study:

  • To analyze site percolation using the Achlioptas process with a product rule.
  • To determine the nature of the phase transition in a 2D square lattice.
  • To compare the product rule transition with sum rule transitions.

Main Methods:

  • Site percolation simulation on a 2D square lattice.
  • Analysis of cluster size distribution P(s).
  • Examination of order parameter hysteresis loops.

Main Results:

  • A robust power-law regime followed by a stable hump in P(s) was observed.
  • The cluster size distribution indicates a discontinuous phase transition.
  • Hysteresis in the order parameter confirms the discontinuous nature of the transition.
  • The product rule transition differs from the sum rule transition in 2D.

Conclusions:

  • The Achlioptas process with a product rule induces a discontinuous phase transition in 2D site percolation.
  • This transition behavior is distinct from that observed with sum rules.
  • The findings contribute to understanding phase transitions in complex network models.