ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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Issue
vol 67 / February, 2024
Article
UDC 004.932

ENUMERATIVE CLASSIFICATION OF SCANNING PROBE MICROSCOPY DATA

V. M. Musalimov
Institute of Problems of Machine Science of the Russian Academy of Sciences, St. Petersburg; Chief Scientific Officer


P. P. Kovalenko
ITMO University, Department of Mechatronics; Associate Professor


S. Y. Perepelkina
ITMO University, Saint Petersburg, 197101, Russian Federation; Associate Professor


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Abstract.   A new method for enumerative classification of scanning probe microscopy data is proposed. The method is based on Morse polynomials and capabilities of enumerative combinatorial analysis.
Keywords: classification of scanning probe microscopy data, Morse polynomials, permutations