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基于从头算深度势能分子动力学的SnO(110)/HO界面处水介导的质子跳跃机制

Water-Mediated Proton Hopping Mechanisms at the SnO(110)/HO Interface from Ab Initio Deep Potential Molecular Dynamics.

作者信息

Jia Mei, Zhuang Yong-Bin, Wang Feng, Zhang Chao, Cheng Jun

机构信息

Henan Key Laboratory of Biomolecular Recognition and Sensing, Henan Joint International Research Laboratory of Chemo/Biosensing and Early Diagnosis of Major Diseases, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu 476000, China.

State Key Laboratory of Physical Chemistry of Solid Surfaces, iChEM, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.

出版信息

Precis Chem. 2024 Sep 18;2(12):644-654. doi: 10.1021/prechem.4c00056. eCollection 2024 Dec 23.

Abstract

The interfacial proton transfer (PT) reaction on the metal oxide surface is an important step in many chemical processes including photoelectrocatalytic water splitting, dehydrogenation, and hydrogen storage. The investigation of the PT process, in terms of thermodynamics and kinetics, has received considerable attention, but the individual free energy barriers and solvent effects for different PT pathways on rutile oxide are still lacking. Here, by applying a combination of ab initio and deep potential molecular dynamics methods, we have studied interfacial PT mechanisms by selecting the rutile SnO(110)/HO interface as an example of an oxide with the characteristic of frequently interfacial PT processes. Three types of PT pathways among the interfacial groups are found, i.e., proton transfer from terminal adsorbed water to bridge oxygen directly (surface-PT) or via a solvent water (mediated-PT), and proton hopping between two terminal groups (adlayer PT). Our simulations reveal that the terminal water in mediated-PT prefers to point toward the solution and forms a shorter H-bond with the assisted solvent water, leading to the lowest energy barrier and the fastest relative PT rate. In particular, it is found that the full solvation environment plays a crucial role in water-mediated proton conduction, while having little effect on direct PT reactions. The PT mechanisms on aqueous rutile oxide interfaces are also discussed by comparing an oxide series composed of SnO, TiO, and IrO. Consequently, this work provides valuable insights into the ability of a deep neural network to reproduce the ab initio potential energy surface, as well as the PT mechanisms at such oxide/liquid interfaces, which can help understand the important chemical processes in electrochemistry, photoelectrocatalysis, colloid science, and geochemistry.

摘要

金属氧化物表面的界面质子转移(PT)反应是许多化学过程中的重要步骤,包括光电催化水分解、脱氢和储氢。从热力学和动力学角度对PT过程的研究已受到相当多的关注,但金红石氧化物上不同PT途径的单个自由能垒和溶剂效应仍然缺乏。在此,通过结合从头算和深度势分子动力学方法,我们以金红石SnO(110)/HO界面为例,研究了具有频繁界面PT过程特征的氧化物的界面PT机制。在界面基团中发现了三种类型的PT途径,即质子从末端吸附水直接转移到桥氧(表面PT)或通过溶剂水(介导PT),以及两个末端基团之间的质子跳跃(吸附层PT)。我们的模拟表明,介导PT中的末端水倾向于指向溶液,并与辅助溶剂水形成较短的氢键,从而导致最低的能垒和最快的相对PT速率。特别地,发现完整的溶剂化环境在水介导的质子传导中起关键作用,而对直接PT反应影响很小。还通过比较由SnO、TiO和IrO组成的氧化物系列,讨论了金红石氧化物水界面上的PT机制。因此,这项工作为深度神经网络再现从头算势能面的能力以及此类氧化物/液体界面的PT机制提供了有价值的见解,这有助于理解电化学、光电催化、胶体科学和地球化学中的重要化学过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f5d/11672534/184868d78f07/pc4c00056_0001.jpg

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