The Exploration of Chemical Reaction Networks.

IF 11.7 1区 化学 Q1 CHEMISTRY, PHYSICAL
Jan P Unsleber, Markus Reiher
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引用次数: 73

Abstract

Modern computational chemistry has reached a stage at which massive exploration into chemical reaction space with unprecedented resolution with respect to the number of potentially relevant molecular structures has become possible. Various algorithmic advances have shown that such structural screenings must and can be automated and routinely carried out. This will replace the standard approach of manually studying a selected and restricted number of molecular structures for a chemical mechanism. The complexity of the task has led to many different approaches. However, all of them address the same general target, namely to produce a complete atomistic picture of the kinetics of a chemical process. It is the purpose of this overview to categorize the problems that should be targeted and to identify the principal components and challenges of automated exploration machines so that the various existing approaches and future developments can be compared based on well-defined conceptual principles.

化学反应网络的探索。
现代计算化学已经达到了这样一个阶段:对化学反应空间进行大规模的探索,对潜在相关分子结构的数量进行前所未有的分辨率已经成为可能。各种算法的进步表明,这种结构筛选必须而且可以自动化和常规地进行。这将取代手动研究化学机制的选定和有限数量的分子结构的标准方法。这项任务的复杂性导致了许多不同的方法。然而,它们都有一个共同的目标,即生成化学过程动力学的完整原子图像。本概述的目的是对应该针对的问题进行分类,并确定自动勘探机的主要组成部分和挑战,以便可以根据定义明确的概念原则对各种现有方法和未来发展进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
28.00
自引率
0.00%
发文量
21
期刊介绍: The Annual Review of Physical Chemistry has been published since 1950 and is a comprehensive resource for significant advancements in the field. It encompasses various sub-disciplines such as biophysical chemistry, chemical kinetics, colloids, electrochemistry, geochemistry and cosmochemistry, chemistry of the atmosphere and climate, laser chemistry and ultrafast processes, the liquid state, magnetic resonance, physical organic chemistry, polymers and macromolecules, and others.
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