scispace - formally typeset
G

Gerd Binnig

Researcher at IBM

Publications -  138
Citations -  13443

Gerd Binnig is an academic researcher from IBM. The author has contributed to research in topics: Scanning tunneling microscope & Scanning probe microscopy. The author has an hindex of 37, co-authored 137 publications receiving 13110 citations. Previous affiliations of Gerd Binnig include Delphi Automotive & Seiko Instruments.

Papers
More filters
Patent

Scanning probe microscope and method of measuring geometry of sample surface with scanning probe microscope

TL;DR: In this paper, a multi-layer piezoelectric element is used as an apparatus to forcibly vibrate the cantilever, a multilayer element that responds to an output signal from an oscillator for outputting a signal at a predetermined frequency.
Patent

Electric travelling support

TL;DR: In this paper, a travelling support consisting of a piezo-electric plate resting on three legs whose bottom surface is insulated from the bench on which the support is to travel, by a dielectric.
Book ChapterDOI

Bildanalyse in Medizin und Biologie Beispiele und Anwendungen

TL;DR: Heutzutage sind bildgebende Verfahren aus medizinischen Untersuchungen nicht mehr wegzudenken Diverse Methoden werden dabei spezifisch eingesetzt and liefern umfangreiches Datenmaterial uber den Korper and sein Inneres Anhand von Mikroskopieaufnahmen aus Biopsien konnen daruber hinaus Daten uber die morphologische Eigenschaften von Korper
Proceedings Article

The millipede, a very dense, highly parallel scanning-probe data-storage system

TL;DR: The thermo-mechanical scanning-probe-based data-storage concept called Millipede combines ultrahigh density, terabit capacity, small form factor, and high data rate and is introduced.
Proceedings Article

CMOS sensor array with cell–level analog–to–digital conversion for local probe date storage

TL;DR: A scalable CMOS sensing architecture for highly parallel readback of signals from large two-dimensional local probe arrays for AFM(atomic force microscope)-based data storage is presented and demonstrates the required functionality and performance for future large arrays of 32 × 32 or more AFM cantilevers.