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Analysis of complex reaction systems: Application to the chemistry of silicon nanoparticle formation and polystyrene/polypropylene degradation.

机译:复杂反应系统的分析:在硅纳米颗粒形成和聚苯乙烯/聚丙烯降解的化学中的应用。

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Complex reaction systems consisting of thousands of species and reactions are very common in many important chemical processes. Analysis of these complex reaction systems using both experimental and theoretical tools is critical to understand the reaction pathways at the mechanistic or molecular level, and control of the conversion of chemical processes can be exerted based on the information obtained. In this thesis, two different complex reaction systems were researched. The first study focused on the degradation behavior of polymers, which was motivated by surging interest in recycling processes for plastic waste. Polystyrene (PS) and polypropylene (PP) were chosen as single component models of mixed plastic waste. Neat and binary mixture pyrolyses were performed at two different temperatures. Enhancement of the degradation rate of PP with the addition of PS was observed, which suggested that the more facile degradation of PS helped to initiate the less reactive PP.; The second system investigated was the formation chemistry of silicon nanoparticles, which are believed to be one of the leading sources of particulate contamination in chemical vapor deposition processes in the semiconductor industry and have received great attention recently due to their novel optical and electronic properties. In this thesis, automated mechanism generation was applied to unravel the chemistry in this complex reaction system. An encoding algorithm for determining species' uniqueness and a revised cycle-finding algorithm that can handle complex, polycyclic, silicon-containing molecules were developed to overcome limitations of previous algorithms. A group additivity scheme for estimating thermochemical properties of silicon hydrides was established based on quantum chemical calculations at the G3//B3LYP level of theory. Critical particle sizes were predicted under different reaction conditions, and the reaction pathways for the formation of nanoparticles were analyzed from the information obtained using automated mechanism generation. Finally, the thermochemistry and the reaction kinetics and pathways of different Si2H2 isomers were studied to understand the impact of molecules with multiple functionalites on the overall particle formation kinetics. The results suggested that the detailed reaction kinetics and pathways involving Si2H 2 isomers and other molecules with multiple functionalities merit further investigation.
机译:在许多重要的化学过程中,由数千种物种和反应组成的复杂反应系统非常普遍。使用实验工具和理论工具对这些复杂的反应系统进行分析对于理解机理或分子水平的反应途径至关重要,并且可以基于获得的信息来控制化学过程的转化。本文研究了两种不同的复杂反应体系。第一项研究的重点是聚合物的降解行为,这是由于人们对塑料废料的回收过程产生了浓厚的兴趣。选择了聚苯乙烯(PS)和聚丙烯(PP)作为混合塑料废料的单组分模型。纯净和二元混合物热解在两个不同的温度下进行。观察到,添加PS可以提高PP的降解速率,这表明PS降解越容易,则引发的PP活性越低。研究的第二个系统是硅纳米颗粒的形成化学,人们认为硅纳米颗粒是半导体工业化学气相沉积过程中颗粒污染的主要来源之一,并且由于其新颖的光学和电子特性,最近受到了极大的关注。在本文中,自动化机理的产生被用来揭示这个复杂反应系统中的化学反应。为了克服先前算法的局限性,开发了一种用于确定物种唯一性的编码算法和一种可处理复杂的多环含硅分子的改进的循环查找算法。基于理论上G3 // B3LYP的量子化学计算,建立了一个用于估计氢化硅热化学性质的基团加和方案。预测了在不同反应条件下的临界粒径,并根据使用自动机制生成获得的信息分析了纳米颗粒形成的反应途径。最后,研究了不同Si 2 H 2 异构体的热化学以及反应动力学和途径,以了解具有多种官能团的分子对整体颗粒形成动力学的影响。结果表明,涉及Si 2 H 2 异构体和其他具有多种功能的分子的详细反应动力学和途径值得进一步研究。

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