Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Vectorial scanning force microscopy using a nanowire sensor
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 3650318
Author(s) Rossi, Nicola; Braakman, Floris; Cadeddu, Davide; Vasyukov, Denis; Tütüncüoglu, Gözde; Fontcuberta i Morral, Anna; Poggio, Martino
Author(s) at UniBasel Poggio, Martino
Rossi, Nicola
Braakman, Floris
Cadeddu, Davide
Vasyukov, Denis
Year 2016
Title Vectorial scanning force microscopy using a nanowire sensor
Journal Nature Nanotechnology
Volume 12
Number 2
Pages / Article-Number 150-155
Abstract Self-assembled nanowire (NW) crystals can be grown into nearly defect-free nanomechanical resonators with exceptional properties, including small motional mass, high resonant frequency and low dissipation. Furthermore, by virtue of slight asymmetries in geometry, a NW's flexural modes are split into doublets oscillating along orthogonal axes. These characteristics make bottom-up grown NWs extremely sensitive vectorial force sensors. Here, taking advantage of its adaptability as a scanning probe, we use a single NW to image a sample surface. By monitoring the frequency shift and direction of oscillation of both modes as we scan above the surface, we construct a map of all spatial tip–sample force derivatives in the plane. Finally, we use the NW to image electric force fields distinguishing between forces arising from the NW charge and polarizability. This universally applicable technique enables a form of atomic force microscopy particularly suited to mapping the size and direction of weak tip–sample forces.
Publisher Nature Publishing Group
ISSN/ISBN 1748-3387 ; 1748-3395
edoc-URL http://edoc.unibas.ch/44719/
Full Text on edoc Available
Digital Object Identifier DOI 10.1038/nnano.2016.189
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/27749834
ISI-Number WOS:000394195500013
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.354 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
02/05/2024