Two axis image-based measurement and control for scanning probe microscopes

2011 ◽  
Author(s):  
G. M. Clayton ◽  
B. McManus
Keyword(s):  
Scanning Probe ◽  
And Control ◽  
Measurement And Control

Thermal, Electrical, and Thermoelectric Measurements by Scanning Probe Microscopy

2002 ◽  
Author(s):  
Andrew C. Miner ◽  
Michael Chapp ◽  
Deyu Li ◽  
Arun Majumdar
Keyword(s):  
Mechanical Design ◽  
Flux Measurement ◽  
Scanning Probe ◽  
Measurement Tool ◽  
Probe Design ◽  
Scanning Thermal Microscopy ◽  
Electrical Measurements ◽  
Thermoelectric Measurements ◽  
And Control ◽  
Measurement And Control

This work brings together aspects of scanning thermal microscopy (SThM) and scanning spreading resistance microscopy (SRM) into a single tool for thermoelectric measurement. The measurement tool presented here allows simultaneous electrical and thermal measurement of samples using a probe tip of radius on the order of 50 nm. Thermal and mechanical design allow topographic resolution on the order of 4Å while minimizing detrimental heat flow from the probe to sample. This tool integrates sensors allowing for heat flux measurement and control, enabling a variety of thermal, electrical and thermoelectric measurements. Preliminary thermal and electrical measurements of bismuth telluride nanowire arrays demonstrate the capabilities of this scanning probe design.

2. Measurement and Control of Airborne Microorganisms Using Electrostatic Methods

2001 ◽  
Author(s):  
G. Mainelis ◽  
R. Gorny ◽  
K. Willeke ◽  
S. Grinshpun ◽  
T. Reponen ◽  
...  
Keyword(s):  
Airborne Microorganisms ◽  
And Control ◽  
Measurement And Control

Analysis of the horizontal structure of a measurement and control geodetic network based on entropy

2013 ◽  
Vol 62 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Maria Mrówczyńska
Keyword(s):  
Geodetic Network ◽  
The State ◽  
Observation System ◽  
Optimum Number ◽  
Optimum Structure ◽  
Horizontal Structure ◽  
The Difference ◽  
And Control ◽  
Measurement And Control ◽  
Horizontal Displacements

Abstract The paper attempts to determine an optimum structure of a directional measurement and control network intended for investigating horizontal displacements. For this purpose it uses the notion of entropy as a logarithmical measure of probability of the state of a particular observation system. An optimum number of observations results from the difference of the entropy of the vector of parameters ΔHX̂ (x)corresponding to one extra observation. An increment of entropy interpreted as an increment of the amount of information about the state of the system determines the adoption or rejection of another extra observation to be carried out.

Sign in / Sign up

Export Citation Format

Share Document