用人工力诱导反应法发现从头算反应。

IF 11.7 1区 化学 Q1 CHEMISTRY, PHYSICAL
Satoshi Maeda, Yu Harabuchi, Hiroki Hayashi, Tsuyoshi Mita
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引用次数: 3

摘要

在求解动力学方程的同时预测化学反应的整个过程,为实现实时动力学模拟提供了机会,从而直接发现化学反应及其产物产率。这种模拟通过缩小基于反应路径网络的动力学分析的搜索空间,避免了要检查的反应模式的组合爆炸,并将开辟一个新的范式,超越传统的两步方法,这需要在进行动力学模拟之前建立一个反应路径网络。针对这一问题,笔者将人工力致反力法与速率常数矩阵收缩法相结合,提出了一种实用的方法。有两种算法可用于此目的:以反应物为输入的前向模式和以生成物为输入的后向模式。本文首先对已知反应的这些模式进行了数值验证,然后演示了它们在实际反应发现中的应用。最后,讨论了该方法面临的挑战和从头算反应发现的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Ab Initio Reaction Discovery Using the Artificial Force Induced Reaction Method.

Predicting the whole process of a chemical reaction while solving kinetic equations presents an opportunity to realize an on-the-fly kinetic simulation that directly discovers chemical reactions with their product yields. Such a simulation avoids the combinatorial explosion of reaction patterns to be examined by narrowing the search space based on the kinetic analysis of the reaction path network, and would open a new paradigm beyond the conventional two-step approach, which requires a reaction path network prior to performing a kinetic simulation. The authors addressed this issue and developed a practical method by combining the artificial force induced reaction method with the rate constant matrix contraction method. Two algorithms are available for this purpose: a forward mode with reactants as the input and a backward mode with products as the input. This article first numerically verifies these modes for known reactions and then demonstrates their application to the actual reaction discovery. Finally, the challenges of this method and the prospects for ab initio reaction discovery are discussed.

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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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