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Chemical reaction network sensitivity analysis

Authors: R. Larter; B. L. Clarke;

Chemical reaction network sensitivity analysis

Abstract

Traditional sensitivity analysis of a chemical reaction system’s periodic trajectory shows how the oscillation depends on the reaction rate constants. We develop sensitivity analysis within the framework of a stoichiometric network analysis, which is a theory that relates the dynamics of complex chemical reaction systems to feedback loops in the reaction network. The combined theory shows how the properties of a chemical oscillation are related to parameters that reflect the topology of the reaction network rather than to the rate constant parameters. The theory is applied to a Brusselator limit cycle as an example.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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