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https://doi.org/10.1103/physre...
Article . 2024 . Peer-reviewed
License: APS Licenses for Journal Article Re-use
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY
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Catalytic coagulation

Authors: P. L. Krapivsky; S. Redner;

Catalytic coagulation

Abstract

We introduce an autocatalytic aggregation model in which the rate at which two clusters merge to form a cluster is controlled by the presence of a third "catalytic" cluster whose mass must equal to the mass of one of the reaction partners. The catalyst is unaffected by the joining event and is available to either participate in or catalyze subsequent reactions. This model is meant to mimic the self-replicating reactions that occur in models for the origin of life. We solve the kinetics of this catalytic coagulation model for the case of mass-independent rates and show that the total cluster density decays as $t^{-1/3}$, while the density of clusters of any fixed mass decays as $t^{-2/3}$. These behaviors contrast with the corresponding $t^{-1}$ and $t^{-2}$ scalings for classic aggregation. We extend our model to mass-dependent reaction rates, to situations where only "magic" mass clusters can catalyze reactions, and to include steady monomer input.

8 pages, 1 figure. Version 2: terminology of the model changed. No other changes. Version 3: various changes in response to referee comments; 2 figures added

Related Organizations
Keywords

Chemical Physics (physics.chem-ph), Statistical Mechanics (cond-mat.stat-mech), Biological Physics (physics.bio-ph), Physics - Chemical Physics, FOS: Biological sciences, FOS: Physical sciences, Physics - Biological Physics, Quantitative Biology - Quantitative Methods, Condensed Matter - Statistical Mechanics, Quantitative Methods (q-bio.QM)

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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!
1
Average
Average
Average
Green