ArticleScientific reports2019
Few-cycle Regime Atomic Force Microscopy.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Unveiling Van Der Waals Forces and Associated Hamaker Constants Across the Nanomaterial Landscape With Advanced Atomic Force Microscopy.Small methods · 2026Review
- Characteristics and Functionality of Cantilevers and Scanners in Atomic Force Microscopy.Materials (Basel, Switzerland) · 2023Review
- A new method for obtaining model-free viscoelastic material properties from atomic force microscopy experiments using discrete integral transform techniques.Beilstein journal of nanotechnology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Traditionally, dynamic atomic force microscopy (AFM) techniques are based on the analysis of the quasi-steady state response of the cantilever deflection in terms of Fourier analysis. Here we describe a technique that instead exploits the often disregarded transient response of the cantilever through a relatively modern mathematical tool, which has caused important developments in several scientific fields but that is still quite unknown in the AFM context: the wavelet analysis. This tool allows us to localize the time-varying spectral composition of the initial oscillations of the cantilever deflection when an impulsive excitation is given (as in the band excitation method), a mode that we call the few-cycle regime. We show that this regime encodes very meaningful information about the tip-sample interaction in a unique and extremely sensitive manner. We exploit this high sensitivity to gain detailed insight into multiple physical parameters that perturb the dynamics of the AFM probe, such as the tip radius, Hamaker constant, sample's elastic modulus and height of an adsorbed water layer. We validate these findings with experimental evidence and computational simulations and show a feasible path towards the simultaneous retrieval of multiple physical parameters.
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Registered trials
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