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Reaction Rate02:53

Reaction Rate

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The rate of reaction is the change in the amount of a reactant or product per unit time. Reaction rates are therefore determined by measuring the time dependence of some property that can be related to reactant or product amounts. Rates of reactions that consume or produce gaseous substances, for example, are conveniently determined by measuring changes in volume or pressure.
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Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
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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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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.
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The Collision Theory
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The rate-determining step, or RDS, in a chemical reaction is the slowest step that determines the overall reaction rate. It is identified by using the observed rate law and typically involves approximation methods like the RDS approximation or the steady-state approximation.In the RDS approximation, also known as the rate-limiting-step or equilibrium approximation, the reaction mechanism consists of one or more reversible reactions near equilibrium, followed by a slower RDS, and then one or...
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Multidimensional reaction rate theory with anisotropic diffusion.

Alexander M Berezhkovskii1, Attila Szabo2, Nicholas Greives3

  • 1Mathematical and Statistical Computing Laboratory, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20819, USA.

The Journal of Chemical Physics
|November 29, 2014
PubMed
Summary
This summary is machine-generated.

A new formula accurately calculates transition rates between potential energy wells, even with highly anisotropic diffusion. This method improves upon Kramers-Langer theory and is confirmed by simulations.

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Area of Science:

  • Chemical Physics
  • Physical Chemistry
  • Theoretical Chemistry

Background:

  • Diffusive transitions between potential wells are fundamental in chemical reactions and molecular dynamics.
  • Kramers-Langer theory provides a framework for calculating these transition rates but has limitations in anisotropic diffusion scenarios.
  • Understanding these transitions is crucial for predicting reaction kinetics and molecular behavior.

Purpose of the Study:

  • To derive a novel analytical expression for the rate constant of diffusive transitions between two deep wells in multidimensional potentials.
  • To develop a method that is valid even when diffusion is highly anisotropic, overcoming limitations of existing theories.
  • To provide a more accurate theoretical tool for studying complex chemical and physical processes.

Main Methods:

  • Utilized a variational principle applied to the reactive flux.
  • Employed a trial function for the splitting probability (commitor) within the variational framework.
  • Validated the derived analytical expression through Brownian dynamics simulations.

Main Results:

  • An analytical expression for the rate constant of diffusive transitions was successfully derived.
  • The new expression demonstrates validity in cases of highly anisotropic diffusion, unlike the conventional Kramers-Langer formula.
  • Brownian dynamics simulations confirmed the accuracy and applicability of the theoretical results.

Conclusions:

  • The derived analytical expression offers a more general and accurate method for calculating transition rates in multidimensional systems.
  • This work provides a valuable theoretical advancement for studying systems with anisotropic diffusion, relevant to various fields.
  • The validated approach enhances the predictive power of theoretical models in chemical kinetics and molecular dynamics.