Oscillations and Dynamic Instabilities in Chemical Systems

化学系统中的振荡和动态不稳定性

• 批准号: 9113897
• 负责人: Richard Noyes
• 金额: $ 18万
• 依托单位: University of Oregon Eugene
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-11-15 至 1995-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9113897&HistoricalAwards=false
• 关键词: Oscillations; Dynamic; Instabilities; Chemical; Systems

Professor Richard M. Noyes is supported by a grant from the Theoretical and Computational Chemistry Program to continue his studies of oscillations and dynamic instabilities in chemical systems. In particular, Noyes proposes to perform studies in the following basic areas: 1) to further the mechanistic studies of the Belousov-Zhabotinsky reaction; 2) to improve our understanding of the oscillatory oxidation of benzaldehyde; 3) to study the nucleation of bubbles and transport of molecules between gas and liquid phases; 4) to extend the theories of behavior in complex systems; and 5) to study oscillations and instabilities in biological systems. %%% Any chemical system isolated from further inputs of matter or energy will ultimately decay toward a nonreactive state called chemical equilibrium. If light or heat or reactant chemicals of high energy are constantly added, the system may be kept far from equilibrium and may exhibit exotic behaviors such as oscillations in composition or bursts of gas evolution. Noyes' research program is directed to discovering and elucidating these mechanisms and to learning the conditions responsible for their occurence. Such studies are intended to learn both how to prevent undesirable instabilitiers and also how to use instabilities to accomplish useful purposes.

Richard M.诺伊斯得到了 理论和计算化学计划，继续他的 化学振荡和动力学不稳定性的研究 系统. 特别是，Noyes建议在以下方面进行研究： （一）加强机制建设， Belousov-Zhabotinsky反应的研究; 2）改进我们的 了解苯甲醛的振荡氧化; 3） 研究气泡的成核和分子的传输 气相和液相之间; 4）扩展理论 复杂系统中的行为; 5）研究振荡， 生物系统的不稳定性。 %%% 任何与物质的进一步输入隔离的化学系统， 能量最终会衰减到一个非反应状态， 化学平衡 如果光或热或化学反应物 高能量不断增加，系统可以保持远 从平衡，并可能表现出奇异的行为，如 成分振荡或气体爆发。 诺伊斯 研究计划旨在发现和阐明 这些机制和学习的条件负责 他们的发生。 这些研究旨在了解 以防止不希望的不稳定性，以及如何使用 不稳定性来实现有用的目的。