English
Related papers

Related papers: Reconstruction of silicon surfaces: a stochastic o…

200 papers

In this article we show that the reconstructions of semiconductor surfaces can be determined using a genetic procedure. Coupled with highly optimized interatomic potentials, the present approach represents an efficient tool for finding and…

Materials Science · Physics 2009-11-10 F. C. Chuang , C. V. Ciobanu , V. B. Shenoy , C. Z. Wang , K. M. Ho

In this article we report the results of global structural optimization of the Si(114) surface, which is a stable high-index orientation of silicon. We use two independent procedures recently developed for the determination of surface…

Materials Science · Physics 2009-11-10 F. C. Chuang , C. V. Ciobanu , C. Predescu , C. Z. Wang , K. M. Ho

Scanning tunnelling microscopy (STM) is a powerful technique for imaging surfaces with atomic resolution, providing insight into physical and chemical processes at the level of single atoms and molecules. A regular task of STM image…

The problem addressed here can be concisely formulated as follows: given a stable surface orientation with a known reconstruction and given a direction in the plane of this surface, find the atomic structure of the steps oriented along that…

Materials Science · Physics 2007-05-23 R. M. Briggs , C. V. Ciobanu

Leveraging scanning tunneling microscopy (STM) for atomic-scale fabrication has led to many advancements such as the creation of atomic electron-spin qubit structures on surfaces. However, the time-consuming and tedious nature of this…

Mesoscale and Nanoscale Physics · Physics 2024-10-18 Angéline Lafleur , Soo-hyon Phark

Although unstable, the Si(337) orientation has been known to appear in diverse experimental situations such as the nanoscale faceting of Si(112), or in the case of miscutting a Si(113) surface. Various models for Si(337) have been proposed…

Materials Science · Physics 2007-05-23 F. C. Chuang , C. V. Ciobanu , C. Z. Wang , K. M. Ho

Well-ordered stepped semiconductor surfaces attract intense attention owing to the regular arrangements of their atomic steps that makes them perfect templates for the growth of one- dimensional systems, e.g. nanowires. Here, we report on…

Mesoscale and Nanoscale Physics · Physics 2017-11-09 Carmen Perez Leon , Holger Drees , Stefan Martin Wippermann , Michael Marz , Regina Hoffmann-Vogel

Recent experimental studies have shown that well-annealed, unstrained Si(105) surfaces appear disordered and atomically rough when imaged using scanning tunnelling microscopy (STM). We construct new models for the Si(105) surface that are…

Condensed Matter · Physics 2009-11-10 C. V. Ciobanu , V. B. Shenoy , C. Z. Wang , K. M. Ho

Structured illumination microscopy (SIM) is a very important super-resolution microscopy technique, which provides high speed super-resolution with about two-fold spatial resolution enhancement. Several attempts aimed at improving the…

Computer Vision and Pattern Recognition · Computer Science 2016-02-23 Amit Lal , Chunyan Shan , Peng Xi

Scanning tunneling microscopes (STM) are used extensively for studying and manipulating matter at the atomic scale. In spite of the critical role of the STM tip, the control of the atomic-scale shape of STM tips remains a poorly solved…

Mesoscale and Nanoscale Physics · Physics 2017-12-11 Sumit Tewari , Koen M. Bastiaans , Milan P. Allan , Jan M. van Ruitenbeek

Scanning tunnelling microscopy (STM) with a functionalized tip apex reveals the geometric and electronic structure of a sample within the same experiment. However, the complex nature of the signal makes images difficult to interpret and has…

Materials Science · Physics 2023-12-18 Lauri Kurki , Niko Oinonen , Adam S. Foster

The nature of the atomic defects on the hydrogen passivated Si (100) surface is analyzed using deep learning and scanning tunneling microscopy (STM). A robust deep learning framework capable of identifying atomic species, defects, in the…

Materials Science · Physics 2020-02-19 Maxim Ziatdinov , Udi Fuchs , James H. G. Owen , John N. Randall , Sergei V. Kalinin

Scanning tunnelling microscopy (STM) enables atomic-resolution imaging and atom manipulation, but its utility is often limited by tip degradation and slow serial data acquisition. Fabrication adds another layer of complexity since the tip…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Nikola L. Kolev , Tommaso Rodani , Neil J. Curson , Taylor J. Z. Stock , Alberto Cazzaniga

Scanning tunneling microscope (STM) has presented a revolutionary methodology to the nanoscience and nanotechnology. It enables imaging the topography of surfaces, mapping the distribution of electronic density of states, and manipulating…

Mesoscale and Nanoscale Physics · Physics 2020-09-07 Wonhee Ko , Chuanxu Ma , Giang D. Nguyen , Marek Kolmer , An-Ping Li

The intersection between dislocations and a Ag(111) surface has been studied using an interplay of scanning tunneling microscopy (STM) and molecular dynamics (MD). Whereas the STM provides atomically resolved information about the surface…

Scanning tunneling microscopy (STM) provides real-space electronic state information at the atomic scale that is most commonly used to study materials surfaces. An intriguing extension of the method is attempt to study the electronic…

Materials Science · Physics 2015-06-22 Andrei Malashevich , Eric I. Altman , Sohrab Ismail-Beigi

We present self-consistent ab-initio total-energy and electronic-structure calculations on stoichiometric and non-stoichiometric TiO2 (110) surfaces. Scanning tunneling microscopy (STM) topographs are simulated by calculating the local…

Materials Science · Physics 2009-10-30 Kwok-On Ng , David Vanderbilt

In this review we present an overview of the current atom probe tomography spatial data reconstruction paradigm, and explore some of potential routes to improve the current methodology in order to yield a more accurate representation of…

Materials Science · Physics 2015-10-13 David J. Larson , Baptiste Gault , Brian P. Geiser , Frederic De Geuser , F. Vurpillot

Stochastic microstructure reconstruction involves digital generation of microstructures that match key statistics and characteristics of a (set of) target microstructure(s). This process enables computational analyses on ensembles of…

Materials Science · Physics 2023-01-02 Anindya Bhaduri , Ashwini Gupta , Audrey Olivier , Lori Graham-Brady
‹ Prev 1 2 3 10 Next ›