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In this article, we present a denoising algorithm to improve the interpretation and quality of scanning tunneling microscopy (STM) images. Given the high level of self-similarity of STM images, we propose a denoising algorithm by…

Computer Vision and Pattern Recognition · Computer Science 2016-10-12 João P. Oliveira , Ana Bragança , José Bioucas-Dias , Mário Figueiredo , Luís Alcácer , Jorge Morgado , Quirina Ferreira

Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic interactions. Here, fused multi-modal electron microscopy offers high signal-to-noise ratio (SNR)…

The search for topological superconductors has recently become a key issue in condensed matter physics, because of their possible relevance to provide a platform for Majorana bound states, non-Abelian statistics, and fault-tolerant quantum…

Superconductivity · Physics 2015-09-29 Lars Elster , Christian Platt , Ronny Thomale , Werner Hanke , Ewelina M. Hankiewicz

This paper develops a resolution enhancement method for post-processing the images from Atomic Force Microscopy (AFM). This method is based on deep learning neural networks in the AFM topography measurements. In this study, a very deep…

Data Analysis, Statistics and Probability · Physics 2018-09-12 Y. Liu , Q. M. Sun , Dr. W. H. Lu , Dr. H. L. Wang , Y. Sun , Z. T. Wang , X. Lu , Prof. K. Y. Zeng

Magnetic force microscopy (MFM) allows one to image the domain structure of ferromagnetic samples by probing the dipole forces between a magnetic probe tip and a magnetic sample. The magnetic domain structure of the sample depends on the…

Instrumentation and Detectors · Physics 2014-02-24 M. Schneiderbauer , F. J. Giessibl

Knowledge of molecular structure is paramount in understanding, and ultimately influencing, chemical reactivity. For nearly a century, diffractive imaging has been used to identify the structures of many biologically-relevant gas-phase…

Chemical Physics · Physics 2020-03-09 Kasra Amini , Jens Biegert

This study explores the application of Convolutional Autoencoders (CAEs) for analyzing and reconstructing Scanning Tunneling Microscopy (STM) images of various crystalline lattice structures. We developed two distinct CAE architectures to…

Numerical Analysis · Mathematics 2025-01-24 Peter Binev , Joshua Moorehead , Ayush Parambath , Luke Parrella , Rori Pumphrey , Miruna Savu

Despite decades of research, the ultimate goal of nanotechnology--top-down manipulation of individual atoms--has been directly achieved with only one technique: scanning probe microscopy. In this Review, we demonstrate that scanning…

The in situ combination of Scanning Probe Microscopies (SPM) with X-ray microbeams adds a variety of new possibilities to the panoply of synchrotron radiation techniques. In this paper we describe an optics-free AFM/STM that can be directly…

Materials Science · Physics 2009-01-09 Mario Rodrigues , Olivier Dhez , Simon Le Denmat , Joel Chevrier , Roberto Felici , Fabio Comin

A scanning tunneling microscopy (STM) image of a hydrogen-adsorbed Si(001) surface is studied using first-principles electron-conduction calculation. The resultant STM image and scanning tunneling spectroscopy spectra are in agreement with…

Materials Science · Physics 2009-11-11 Tomoya Ono , Shinya Horie , Katsuyoshi Endo , Kikuji Hirose

In the first three years since the discovery of Fe-based high Tc superconductors, scanning tunneling microscopy (STM) and spectroscopy have shed light on three important questions. First, STM has demonstrated the complexity of the pairing…

Superconductivity · Physics 2015-03-19 Jennifer E. Hoffman

Scanning superconducting quantum interference device microscopy (SSM) is a scanning probe technique that images local magnetic flux, which allows for mapping of magnetic fields with high field and spatial accuracy. Many studies involving…

Instrumentation and Detectors · Physics 2018-01-17 P. Reith , X. Renshaw Wang , H. Hilgenkamp

Identifying the chemical structure from a graphical representation, or image, of a molecule is a challenging pattern recognition task that would greatly benefit drug development. Yet, existing methods for chemical structure recognition do…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Martijn Oldenhof , Edward De Brouwer , Adam Arany , Yves Moreau

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

Through a simulation-based study we develop a statistical model-based quantification method for atomic resolution first moment scanning transmission electron microscopy (STEM) images. This method uses the uniformly weighted least squares…

Materials Science · Physics 2024-08-06 Yansong Hao , Annick De Backer , Scott David Findlay , Sandra Van Aert

Atomic Force Microscopy (AFM) is a widely employed tool for micro-/nanoscale topographic imaging. However, conventional AFM scanning struggles to reconstruct complex 3D micro-/nanostructures precisely due to limitations such as incomplete…

Computer Vision and Pattern Recognition · Computer Science 2024-01-23 Shuo Chen , Mao Peng , Yijin Li , Bing-Feng Ju , Hujun Bao , Yuan-Liu Chen , Guofeng Zhang

Recent atomic force microscopy (AFM) can measure force curves between a probe and a sample surface in solvent. The force curve is thought as the solvation structure in some cases, because its shape is generally oscilltive and pitch of the…

Chemical Physics · Physics 2013-03-07 Ken-ichi Amano , Kazuhiro Suzuki , Takeshi Fukuma , Hiroshi Onishi

Scanning transmission electron microscopy is a common tool used to study the atomic structure of materials. It is an inherently multimodal tool allowing for the simultaneous acquisition of multiple information channels. Despite its…

Scanning probe microscopy (SPM) is a valuable technique by which one can investigate the physical characteristics of the surfaces of materials. However, its widespread use is hampered by the time-consuming nature of running an experiment…

Instrumentation and Detectors · Physics 2025-09-03 Nicholas J. Sullivan , Julio J. Valdés , Kirk H. Bevan , Peter Grutter

We present a theory for analyzing residence times of single molecules in a fixed detection area of a scanning tunneling microscope (STM). The approach is developed for one-dimensional molecule diffusion and can be extended to two dimensions…

Mesoscale and Nanoscale Physics · Physics 2022-08-23 Christoph Schiel , Philipp Rahe , Philipp Maass