HO3˙高寿命和低稳定性的难题:合理化和预测。

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Philips Kumar Rai, Akash Gutal, Pradeep Kumar
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引用次数: 0

摘要

大气化学中最重要的难题之一是HO3˙的长寿命,尽管它的稳定能很低。在目前的工作中,我们通过将可用的神经网络分析势能面与化学动力学程序相结合,利用经典动力学模拟估计了HO3˙的寿命。仿真结果清楚地表明,在室温下,无碰撞条件下,HO3˙寿命可超过1 μs。事实上,在200k时,HO3˙的寿命可以进入毫秒时间尺度。这表明HO3˙确实是一个足够稳定的中间体,可以影响关键大气过程的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The puzzle of high lifetime and low stabilization of HO3˙: rationalization and prediction.

One of the most important puzzles in atmospheric chemistry is the long-lifetime of HO3˙ in spite of its low-stabilization energy. In the present work, we have estimated the lifetime of HO3˙ using classical dynamics simulations by coupling an available neural-network analytical potential energy surface with a chemical dynamics program. The simulation results clearly indicate that at room temperature, the lifetime of HO3˙ can exceed 1 μs under collision-free conditions. In fact, at 200 K, the lifetime of HO3˙ can enter the millisecond timescale. This suggests that HO3˙ is indeed a stable enough intermediate that can affect the outcomes of crucial atmospheric processes.

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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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