Harabuchi Yu, Yokoyama Tomohiko, Matsuoka Wataru, Oki Taihei, Iwata Satoru, Maeda Satoshi
Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Kita 21, Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0021, Japan.
JST, ERATO Maeda Artificial Intelligence in Chemical Reaction Design and Discovery Project, Kita 10, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-0810, Japan.
J Phys Chem A. 2024 Apr 11;128(14):2883-2890. doi: 10.1021/acs.jpca.4c00204. Epub 2024 Apr 2.
The yield of a chemical reaction is obtained by solving its rate equation. This study introduces an approach for differentiating yields by utilizing the parameters of the rate equation, which is expressed as a first-order linear differential equation. The yield derivative for a specific pair of reactants and products is derived by mathematically expressing the rate constant matrix contraction method, which is a simple kinetic analysis method. The parameters of the rate equation are the Gibbs energies of the intermediates and transition states in the reaction path network used to formulate the rate equation. Thus, our approach for differentiating the yield allows a numerical evaluation of the contribution of energy variation to the yield for each intermediate and transition state in the reaction path network. In other words, a comparison of these values automatically extracts the factors affecting the yield from a complicated reaction path network consisting of numerous reaction paths and intermediates. This study verifies the behavior of the proposed approach through numerical experiments on the reaction path networks of a model system and the Rh-catalyzed hydroformylation reaction. Moreover, the possibility of using this approach for designing ligands in organometallic catalysts is discussed.
化学反应的产率是通过求解其速率方程得到的。本研究介绍了一种利用速率方程参数来区分产率的方法,该速率方程表示为一阶线性微分方程。通过数学表达速率常数矩阵收缩法(一种简单的动力学分析方法),推导出特定反应物和产物对的产率导数。速率方程的参数是用于构建速率方程的反应路径网络中中间体和过渡态的吉布斯自由能。因此,我们区分产率的方法能够对反应路径网络中每个中间体和过渡态的能量变化对产率的贡献进行数值评估。换句话说,对这些值进行比较能够自动从由众多反应路径和中间体组成的复杂反应路径网络中提取影响产率的因素。本研究通过对模型系统的反应路径网络和铑催化的氢甲酰化反应进行数值实验,验证了所提出方法的行为。此外,还讨论了将该方法用于设计有机金属催化剂中配体的可能性。