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Atomic force microscopy (AFM) is one of the most promising methods for investigating the structure of materials at the micro and nanoscale levels, as well as their local physical-mechanical properties. The experimental data obtained with…

Materials Science · Physics 2018-05-07 Oleg K. Garishin , Roman I. Izyumov , Alexander L. Svistkov

The functional properties of many technological surfaces in biotechnology, electronics, and mechanical engineering depend to a large degree on the individual features of their nanoscale surface texture, which in turn are a function of the…

Optical nanoscopy is crucial in life and materials sciences, revealing subtle cellular processes and nanomaterial properties. Scattering-type Scanning Near-field Optical Microscopy (s-SNOM) provides nanoscale resolution, relying on the…

Atomic force microscopy (AFM) is widely used to measure surface topography of solid, soft, and living matter at the nanoscale. Moreover, by mapping forces as a function of distance to the surface, AFM can provide a wealth of information…

Atomic Force Microscopy (AFM) allows to reconstruct the topography of surface with a resolution in the nanometer range. The exceptional resolution attainable with the AFM makes this instrument a key tool in nanoscience and technology. The…

Atomic force microscopy (AFM or SPM) imaging is one of the best matches with machine learning (ML) analysis among microscopy techniques. The digital format of AFM images allows for direct utilization in ML algorithms without the need for…

Biological Physics · Physics 2025-01-07 Igor Sokolov

Significant progress in many classes of materials could be made with the availability of experimentally-derived large datasets composed of atomic identities and three-dimensional coordinates. Methods for visualizing the local atomic…

Polymeric materials are widely used in industries ranging from automotive to biomedical. Their mechanical properties play a crucial role in their application and function and arise from the nanoscale structures and interactions of their…

Mesoscale and Nanoscale Physics · Physics 2023-08-01 Alba R. Piacenti , Casey Adam , Nicholas Hawkins , Ryan Wagner , Jacob Seifert , Yukinori Taniguchi , Roger Proksch , Sonia Contera

In this paper we present a new machine learning workflow with unsupervised learning techniques to identify domains within atomic force microscopy images obtained from polymer films. The goal of the workflow is to identify the spatial…

Image and Video Processing · Electrical Eng. & Systems 2024-09-23 Aanish Paruchuri , Yunfei Wang , Xiaodan Gu , Arthi Jayaraman

Atomic force microscopy (AFM) is a key tool for characterising nanoscale structures, with functionalised tips now offering detailed images of the atomic structure. In parallel, AFM simulations using the particle probe model provide a…

Materials Science · Physics 2025-09-03 Jie Huang , Niko Oinonen , Fabio Priante , Filippo Federici Canova , Lauri Kurki , Chen Xu , Adam S. Foster

Atomic force microscopy (AFM) has been constantly supporting nanosciences and nanotechnologies for over 30 years, being present in many fields from condensed matter physics to biology. It enables measuring very weak forces at the nanoscale,…

Instrumentation and Detectors · Physics 2021-09-07 L Schwab , P Allain , N Mauran , X Dollat , L Mazenq , D Lagrange , M Gély , S Hentz , G Jourdan , I Favero , B Legrand

The rapid development of nanoscience and nanotechnology in the last two decades was stimulated by the emergence of scanning probe microscopy (SPM) techniques capable of accessing local material properties, including transport, mechanical,…

Since the inception of the atomic force microscope AFM, dynamic methods have been very fruitful by establishing methods to quantify dissipative and conservative forces in the nanoscale and by providing a means to apply gentle forces to the…

Mesoscale and Nanoscale Physics · Physics 2021-04-14 Sergio Santos , Karim Gadelrab , Chia-Yun Lai , Tuza Olukan , Josep Font , Victor Barcons , Albert Verdaguer , Matteo Chiesa

A novel method for measuring the surface coverage of randomly distributed cylindrical nanoparticles such as nanorods and nanowires, using atomic force microscopy (AFM), is presented. The method offers several advantages over existing…

Materials Science · Physics 2018-07-12 Francesca Bottacchi , Stefano Bottacchi , Thomas D. Anthopoulos

The ability to probe a materials electromechanical functionality on the nanoscale is critical to applications from energy storage and computing to biology and medicine. Voltage modulated atomic force microscopy (VM-AFM) has become a…

Mesoscale and Nanoscale Physics · Physics 2019-04-16 Liam Collins , Yongtao Liu , Olga Ovchinnikova , Roger Proksch

Atomic Force Microscopy (AFM) allows to probe matter at atomic scale by measuring the perturbation of a nanomechanical oscillator induced by near-field interaction forces. The quest to improve sensitivity and resolution of AFM has forced…

Mesoscale and Nanoscale Physics · Physics 2017-05-25 Alessandro Siria , Antoine Niguès

Atomic Force Microscopy (AFM) is a suitable tool to perform tribological characterization of materials down to the nanometer scale. An important aspect in nanofriction measurements of corrugated samples is the local tilt of the surface,…

Condensed Matter · Physics 2017-06-22 A. Podesta' , G. Fantoni , P. Milani

Frequency modulation (FM) Atomic Force Microscopy (AFM) with metal tips functionalized with a CO molecule at the tip apex has provided access to the internal structure of molecules with totally unprecedented resolution. We propose a model…

Materials Science · Physics 2022-05-03 Jaime Carracedo-Cosme , Rubén Pérez

An atomic force microscope (AFM) is capable of producing ultra-high resolution measurements of nanoscopic objects and forces. It is an indispensable tool for various scientific disciplines such as molecular engineering, solid-state physics,…

Applications · Statistics 2017-06-28 Bryan Yates , Aleksander Labuda , Martin Lysy

Atomic Force Microscopy (AFM) enables high-resolution surface imaging at the nanoscale, yet the output is often degraded by artifacts introduced by environmental noise, scanning imperfections, and tip-sample interactions. To address this…

Computer Vision and Pattern Recognition · Computer Science 2026-02-05 Juntao Zhang , Angona Biswas , Jaydeep Rade , Charchit Shukla , Juan Ren , Anwesha Sarkar , Adarsh Krishnamurthy , Aditya Balu
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