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Integrated Reaction Path Processing from Sampled Structure Sequences
Journal of Chemical Theory and Computation ( IF 5.7 ) Pub Date : 2018-03-08 00:00:00 , DOI: 10.1021/acs.jctc.8b00019
Michael A. Heuer 1 , Alain C. Vaucher 1 , Moritz P. Haag 1 , Markus Reiher 1
Affiliation  

Sampled structure sequences obtained, for instance, from real-time reactivity explorations or first-principles molecular dynamics simulations contain valuable information about chemical reactivity. Eventually, such sequences allow for the construction of reaction networks that are required for the kinetic analysis of chemical systems. For this purpose, however, the sampled information must be processed to obtain stable chemical structures and associated transition states. The manual extraction of valuable information from such reaction paths is straightforward but unfeasible for large and complex reaction networks. For real-time quantum chemistry, this implies automatization of the extraction and relaxation process while maintaining immersion in the virtual chemical environment. Here, we describe an efficient path processing scheme for the on-the-fly construction of an exploration network by approximating the explored paths as continuous basis-spline curves.

中文翻译:

采样结构序列的综合反应路径处理

例如,从实时反应性探索或第一性原理分子动力学模拟获得的采样结构序列包含有关化学反应性的有价值的信息。最终,这些序列允许构建化学系统动力学分析所需的反应网络。然而,为此目的,必须处理采样信息以获得稳定的化学结构和相关的过渡态。从这样的反应路径中手动提取有价值的信息很简单,但对于大型和复杂的反应网络却不可行。对于实时量子化学,这意味着提取和弛豫过程的自动化,同时保持浸没在虚拟化学环境中。这里,
更新日期:2018-03-08
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