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原文連結
論文資訊
- 類型：已發表論文
- 日期：2018
摘要
We investigate the effect of noisy feed rates on the behavior of a cubic autocatalytic chemical reaction model. By combining the 重整化 group and stoichiometric 網絡 analysis, we demonstrate how externally adjustable random perturbations (extrinsic noise) can be used to select reaction pathways and therefore control reaction yields. This method is general and provides the means to explore the impact that changing 統計 parameters in a noisy external environment (such as noisy feed rates and fluctuating reaction rates induced by noisy light) has on chemical fluxes and pathways, thus demonstrating how external noise may be used to control, promote, direct, and optimize chemical progress through a given reaction pathway.
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