Mechanistic insights into electric field-dependent polarization and kinetics of the elementary reaction NH + H2 → NH2 + H.

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Jie Chen,Jia Ma,Nan Liu,Qi Chen,Lidong Zhang
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Abstract

The elementary reaction NH + H2→ NH2 + H is a pivotal pathway in the NH3 reaction network, yet its polarization mechanism and kinetic parameters under external electric fields (EEFs) remain unexplored despite well-established equilibrium kinetics. Here, we employ CCSD(T)/CBS//M06-2X/6-311G(d,p) calculations and transition state theory to systematically investigate 23 EEF directions across 0.005-0.03 a.u., revealing cooperative control of reaction kinetics by the field direction and strength. Alignment with the reaction axis (e.g., -X, (-X, Y), and (-X, Y, -Z)) enhances rate constants by 4 orders of magnitude at 0.03 a.u., while misaligned planar fields suppress reactivity at 0.02 a.u. Crucially, field orientation governs product selectivity through charge transfer that exhibits exponential sensitivity to field strength. The molecular rearrangement induced by the EEFs ensures that the reaction proceeds along the most favorable path. As a result, three advantageous directions, (-X), (-X, Y), and (-X, Y, -Z), were selected for further analysis. By calculating the electronic structure and employing molecular orbital theory, valence bond theory and the quantum theory of atoms in molecules (QTAIM) method, it was found that the reaction responds to EEFs due to the initial regulation of molecular polarity and the influence of the electric field on the charge transfer during the reaction. The results also show that the dipole moment of the transition state is significantly reduced by EEFs in different (-X, Y, and -Z) directions, initially decreasing and then increasing with increasing field strength. The electrostatic potential distribution further illustrates the regulatory effect of different electric field directions on reaction products. Additionally, the EEFs along the reaction axis direction significantly lower the LUMO energy level of the transition state, which may reduce the probability of ionic/charge transfer state wavefunctions mixing into the transition state wavefunction. These findings establish a quantitative framework for leveraging EEFs to manipulate energy barriers and orbital interactions, offering mechanistic insights for optimizing product yields in EEF-driven ammonia reaction systems.
NH2 + H→NH2 + H基本反应的电场依赖极化和动力学机制。
NH3的基本反应nhh + H2→NH2 + H是NH3反应网络中的一个关键途径,但其在外加电场作用下的极化机理和动力学参数虽已建立,但仍未得到进一步的研究。本文采用CCSD(T)/CBS//M06-2X/6-311G(d,p)计算和过渡态理论,系统研究了0.005-0.03 a.u范围内的23个EEF方向,揭示了电场方向和强度对反应动力学的协同控制。与反应轴(例如,-X, (-X, Y)和(-X, Y, -Z)对齐)在0.03 a.u时提高了4个数量级的速率常数,而不对齐的平面场在0.02 a.u时抑制了反应性。关键是,场取向通过电荷转移控制产物的选择性,而电荷转移对场强表现出指数灵敏度。电磁场诱导的分子重排确保了反应沿着最有利的路径进行。因此,选择(-X)、(-X, Y)和(-X, Y, -Z)三个有利方向进行进一步分析。通过计算电子结构,运用分子轨道理论、价键理论和分子中原子的量子理论(QTAIM)方法,发现由于分子极性的初始调节和反应过程中电场对电荷转移的影响,反应对电场有响应。在不同方向(-X、Y和-Z)的电场作用下,过渡态的偶极矩显著减小,随场强的增加先减小后增大。静电势分布进一步说明了不同电场方向对反应产物的调节作用。此外,沿反应轴方向的电场显著降低了过渡态的LUMO能级,这可能降低了离子/电荷转移态波函数混入过渡态波函数的概率。这些发现建立了一个定量框架,用于利用eef来操纵能量势垒和轨道相互作用,为优化eef驱动的氨反应系统的产物产量提供了机制见解。
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
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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