Uncovering reaction sequences on surfaces through graphical methods

文献信息

发布日期 2018-02-19
DOI 10.1039/C8CP00044A
影响因子 3.676
作者

Mina Jafari, Paul M. Zimmerman


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摘要

ZStruct is a graph-based model that generates an ensemble of plausible reaction pathways starting from a given initial state, without requiring prior knowledge of reaction intermediates. In this article, a surface-reaction oriented implementation (S-ZStruct) is introduced for unimolecular and bimolecular reactions, including sampling of different binding sites and adsorption orientations. To test the unimolecular reaction generation ability and angle sampling feature of S-ZStruct, the propanoic acid to ethylene dissociation network is studied. Starting from multiple initial orientations of two key intermediates, multiple unique reaction pathways, each with different activation energies, were discovered. Atomic layer deposition of TiN on Si(100)—involving a challenging reaction mechanism—is also studied as an example of bimolecular reactions. In addition to locating a number of expected pathways, S-ZStruct found that the little-understood step of reduction of Ti(IV) to Ti(III) likely occurs through β-hydride transfer between diamido ligands on neighboring Ti centers. These results suggest that S-ZStruct is a powerful tool for exploring surface chemistry, which will permit discoveries of reaction mechanisms in a wide variety of environments.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

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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