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Projects / Programmes source: ARIS

Algorithms for control of scanning probe microscopes using quartz tuning forks

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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 
Keywords
Scanning microscopy
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus 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  128 
3.  08947  PhD Nežka Mramor Kosta  Mathematics  Head  2004 - 2006  206 
4.  12766  PhD Boštjan Slivnik  Computer science and informatics  Researcher  2004 - 2005  157 
5.  23987  PhD Martin Vuk  Mathematics  Researcher  2004 - 2006  25 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  27,758 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,239 
Abstract
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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