Projects / Programmes source: ARRS

Algorithms for control of scanning probe microscopes using quartz tuning forks

Research activity

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
Scanning microscopy
Evaluation (rules)
source: COBISS
Researchers (5)
no. Code Name and surname Research area Role Period No. of publications
1.  24057  PhD Sanja Fidler  Mathematics  Researcher  2006  32 
2.  02115  PhD Borut Jurčič Zlobec  Mathematics  Researcher  2004 - 2006  127 
3.  08947  PhD Nežka Mramor Kosta  Mathematics  Principal Researcher  2004 - 2006  205 
4.  12766  PhD Boštjan Slivnik  Computer science and informatics  Researcher  2004 - 2005  150 
5.  23987  PhD Martin Vuk  Mathematics  Researcher  2004 - 2006  24 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  26,846 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  14,359 
In the last years tuning forks have emerged as detectors for precise control of scanning probe microscopes. It has been shown that such sensors can be very effectively implemented. The firm Elatec.d.o.o has already cooperated in developement of controllers for scanning probe microscopes using tuning forks, but the analogue technique has been used in the controlling process. The purpose of this project is to improve the existing solutions and introduce algorithms for digital control of the tuning fork. This will enable improved precision, faster response, and will reduce the cost of production. In the beginning stage the surface will be modelled using cycles in Lie geometry, which will enable a compact algebraic description. The computation of a step along the surface between cycles will thus be reduced to a simple calculation. In the second stage, the obtained algorithms will be extended to more general surfaces using a detailed analysis or the experimentally observed parameters of the tuning fork.
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