Dominant Region Analysis: A Novel Framework for Quantifying Competitive Reactions Based on the Gillespie Algorithm

Understanding the quantitative relationships between competing reactions is crucial for analyzing chemical reaction systems.While conventional approaches often focus on static analysis, we propose a novel concept called "dominant region" to capture the dynamic nature of reaction competition.The dominant region concept can be viewed as an extension of the traditional rate-determining step in reaction kinetics.This enables quantitative prediction of how dominant reactions dynamically change with variations in reactant concentrations.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os16-2
Primary Topic
Global Trade and Competitiveness
Type
article
Field-Weighted Citation Impact
0.00
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article

Dominant Region Analysis: A Novel Framework for Quantifying Competitive Reactions Based on the Gillespie Algorithm

Yasuhíro Suzuki
Proceedings of International Conference on Artificial Life and Robotics
Global Trade and Competitiveness
article

Dominant Region Analysis: A Novel Framework for Quantifying Competitive Reactions Based on the Gillespie Algorithm

Yasuhíro Suzuki
article en

Abstract

Understanding the quantitative relationships between competing reactions is crucial for analyzing chemical reaction systems.While conventional approaches often focus on static analysis, we propose a novel concept called "dominant region" to capture the dynamic nature of reaction competition.The dominant region concept can be viewed as an extension of the traditional rate-determining step in reaction kinetics.This enables quantitative prediction of how dominant reactions dynamically change with variations in reactant concentrations.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Nagoya University (JP)
Openalex Percentile: Top 85%
Global Trade and Competitiveness
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