Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, 2007, Volume 149, Book 3, Pages 71–82 (Mi uzku617)  
This article is cited in 1 scientific paper (total in 1 paper)

Nanonoise: new non-invasive methods to read random sequences quantitatively

R. R. Nigmatullin

Kazan State University
Full-text PDF (259 kB) Citations (1)
References:
PDF
HTML
Abstract: The basics for new non-invasive methods to read random sequences quantitatively are reviewed with regard to possible applications to nanosystems. The problems to be solved by the proposed methods are also revealed in the article.
Received: 21.09.2007
UDC: 519.2+53:519.2
Language: Russian
Citation: R. R. Nigmatullin, “Nanonoise: new non-invasive methods to read random sequences quantitatively”, Kazan. Gos. Univ. Uchen. Zap. Ser. Fiz.-Mat. Nauki, 149, no. 3, Kazan University, Kazan, 2007, 71–82
Citation in format AMSBIB
\Bibitem{Nig07}
\by R.~R.~Nigmatullin
\paper Nanonoise: new non-invasive methods to read random sequences quantitatively
\serial Kazan. Gos. Univ. Uchen. Zap. Ser. Fiz.-Mat. Nauki
\yr 2007
\vol 149
\issue 3
\pages 71--82
\publ Kazan University
\publaddr Kazan
\mathnet{http://mi.mathnet.ru/uzku617}
Linking options:
  • https://www.mathnet.ru/eng/uzku617
  • https://www.mathnet.ru/eng/uzku/v149/i3/p71
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki
    Statistics & downloads:
    Abstract page:260
    Full-text PDF :114
    References:33
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024