» Articles » PMID: 28949575

Structure of the SnO_{2}(110)-(4×1) Surface

Overview
Journal Phys Rev Lett
Specialty Biophysics
Date 2017 Sep 27
PMID 28949575
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Using surface x-ray diffraction (SXRD), quantitative low-energy electron diffraction (LEED), and density-functional theory (DFT) calculations, we have determined the structure of the (4×1) reconstruction formed by sputtering and annealing of the SnO_{2}(110) surface. We find that the reconstruction consists of an ordered arrangement of Sn_{3}O_{3} clusters bound atop the bulk-terminated SnO_{2}(110) surface. The model was found by application of a DFT-based evolutionary algorithm with surface compositions based on SXRD, and shows excellent agreement with LEED and with previously published scanning tunneling microscopy measurements. The model proposed previously consisting of in-plane oxygen vacancies is thus shown to be incorrect, and our result suggests instead that Sn(II) species in interstitial positions are the more relevant features of reduced SnO_{2}(110) surfaces.

Citing Articles

Structure of an Ultrathin Oxide on PtSn(111) Solved by Machine Learning Enhanced Global Optimization.

Merte L, Bisbo M, Sokolovic I, Setvin M, Hagman B, Shipilin M Angew Chem Weinheim Bergstr Ger. 2024; 134(25):e202204244.

PMID: 38505419 PMC: 10946564. DOI: 10.1002/ange.202204244.


Neural-network-backed evolutionary search for SrTiO(110) surface reconstructions.

Wanzenbock R, Arrigoni M, Bichelmaier S, Buchner F, Carrete J, Madsen G Digit Discov. 2022; 1(5):703-710.

PMID: 36324606 PMC: 9549766. DOI: 10.1039/d2dd00072e.


Structure of an Ultrathin Oxide on Pt Sn(111) Solved by Machine Learning Enhanced Global Optimization.

Merte L, Bisbo M, Sokolovic I, Setvin M, Hagman B, Shipilin M Angew Chem Int Ed Engl. 2022; 61(25):e202204244.

PMID: 35384213 PMC: 9320988. DOI: 10.1002/anie.202204244.


First-Principles Exploration into the Physical and Chemical Properties of Certain Newly Identified SnO Polymorphs.

Balakrishnan K, Veerapandy V, Fjellvag H, Vajeeston P ACS Omega. 2022; 7(12):10382-10393.

PMID: 35382265 PMC: 8973149. DOI: 10.1021/acsomega.1c07063.


Towards operando computational modeling in heterogeneous catalysis.

Grajciar L, Heard C, Bondarenko A, Polynski M, Meeprasert J, Pidko E Chem Soc Rev. 2018; 47(22):8307-8348.

PMID: 30204184 PMC: 6240816. DOI: 10.1039/c8cs00398j.