English
Related papers

Related papers: Parametric resonance in atomic force microscopy: A…

200 papers

A non-markovian stochastic model shows the emergence of structures in the medium, a self-organization characterized by a relationship between particle's energy, driven frequency $\omega$ and a frequency of interaction with the medium $\nu$.…

General Physics · Physics 2015-07-29 Mario J. Pinheiro

We present a new approach to tuning fork-based atomic force microscopy for utilizing advanced "tip-on-chip" probes with high sensitivity and broad compatibility. Usually, such chip-like probes with a size reaching 2 mm x 2 mm drastically…

Instrumentation and Detectors · Physics 2022-05-19 H. Tunç Çiftçi , Michael Verhage , Tamar Cromwijk , Laurent Pham Van , Bert Koopmans , Kees Flipse , Oleg Kurnosikov

Outlined here is a technique for sub-wavelength infrared surface imaging performed using a phase matched optical parametric oscillator laser and an atomic force microscope as the detection mechanism. The technique uses a novel surface…

We review the progress in the spatial resolution of atomic force microscopy (AFM) in vacuum. After an introduction of the basic principle and a conceptual comparison to scanning tunneling microscopy, the main challenges of AFM and the…

Materials Science · Physics 2007-05-23 Franz J. Giessibl

The contrast formation mechanism in Nanoscale Infrared Spectroscopy (Nano-IR or AFM-IR) is analyzed for the boundary between two layers with different light absorption, thermal and elastic parameters. Analytical results derived in the…

We propose a magnetic resonance force microscopy (MRFM) search for axion dark matter around 1 GHz. The experiment leverages the axion's derivative coupling to electrons, which induces an effective A.C. magnetic field on a sample of electron…

High Energy Physics - Phenomenology · Physics 2026-02-02 Elham Kashi , Muhammad Hani Zaheer , Ryan Petery , Swati Singh

We present Advancing Front Mapping (AFM), a provably robust algorithm for the computation of surface mappings to simple base domains. Given an input mesh and a convex or star-shaped target domain, AFM installs a (possibly refined) version…

Computational Geometry · Computer Science 2024-01-08 Marco Livesu

The coherence of quantum dot qubits fabricated in semiconductors is often limited by charge noise from defects in gate dielectrics, which are material- and process-dependent. Characterizing these defects is an important step towards…

We measure the resonance line shape of atomic vapor layers with nanoscale thickness confined between two sapphire windows. The measurement is performed by scanning a probe laser through resonance and collecting the scattered light. The line…

Atomic Physics · Physics 2015-11-18 K. A. Whittaker , J. Keaveney , I. G. Hughes , A. Sargsyan , D. Sarkisyan , C. S. Adams

The electrical response of ferroelectric domain walls is often influenced by their geometry underneath the sample surface. Tomographic imaging in these material systems has therefore become increasingly important for its ability to…

In this article, we measure the viscous damping $G'',$ and the associated stiffness $G',$ of a liquid flow in sphere-plane geometry in a large frequency range. In this regime, the lubrication approximation is expected to dominate. We first…

Fluid Dynamics · Physics 2015-05-26 Simon Carpentier , Mario S. Rodrigues , Elisabeth Charlaix , Joel Chevrier

In this work, we report the integration of an atomic force microscope (AFM) into a helium ion microscope (HIM). The HIM is a powerful instrument, capable of sub-nanometer resolution imaging and machining of nanoscale structures, while the…

Instrumentation and Detectors · Physics 2020-04-02 Santiago H. Andany , Gregor Hlawacek , Stefan Hummel , Charlène Brillard , Mustafa Kangül , Georg E. Fantner

Voltage induced magnetization dynamics of magnetic thin films is a valuable tool to study anisotropic fields, exchange couplings, magnetization damping and spin pumping mechanism. A particularly well established technique is the…

Mesoscale and Nanoscale Physics · Physics 2020-06-24 Jorge Puebla , Mingran Xu , Bivas Rana , Kei Yamamoto , Sadamichi Maekawa , Yoshichika Otani

This paper is a theoretical and a numerical investigation of the stability of a tip-cantilever system used in noncontact atomic force microscopy (NC-AFM) when it oscillates close to a surface. No additional dissipative force is considered.…

Atomic and Molecular Clusters · Physics 2016-08-16 Gérard Couturier , Laurent Nony , Rodolphe Boisgard , Jean-Pierre Aimé

Atomic Force Microscopy has enabled 2D imaging at the sub-molecular level, and 3D mapping of the potential field. However, fast identification of the surface still remains a challenging topic. In this paper, as a step towards implementation…

Magnetic Resonance Force Microscopy (MRFM) describes a range of approaches to detect nuclear spins with mechanical sensors. MRFM has the potential to enable magnetic resonance imaging (MRI) with near-atomic spatial resolution, opening up…

Atomic force microscopes have proved to be fundamental research tools in many situations where a gentle imaging process is required, and in a variety of environmental conditions, such as the study of biological samples. Among the possible…

Systems and Control · Computer Science 2023-01-05 Marco Coraggio , Martin Homer , Oliver D. Payton , Mario di Bernardo

We study long-range morphological changes in atomic monolayers on solid substrates induced by different types of defects; e.g., by monoatomic steps in the surface, or by the tip of an atomic force microscope (AFM), placed at some distance…

Soft Condensed Matter · Physics 2009-11-07 H. Schiessel , G. Oshanin , A. M. Cazabat , M. Moreau

In the atomic force microscope, the nanoscale force topography of even complex surface superstructures is extracted by the changing vibration frequency of a scanning tip. An alternative dissipation topography with similar or even better…

Mesoscale and Nanoscale Physics · Physics 2010-09-08 Carlotta Negri , Nicola Manini , Andrea Vanossi , Giuseppe E. Santoro , Erio Tosatti

Factorization Machine (FM) is a widely used supervised learning approach by effectively modeling of feature interactions. Despite the successful application of FM and its many deep learning variants, treating every feature interaction…

Machine Learning · Computer Science 2019-02-28 Fuxing Hong , Dongbo Huang , Ge Chen