• Date
  • Subject
  • Theme
  • Journal
  • Citations
  • Altmetric
  • SNIP
  • Author
x1
  • J. WangJ. Wang
  • M. BurtsevM. Burtsev
  • F. SheldonF. Sheldon
  • F. CaravelliF. Caravelli
  • I. ShkredovI. Shkredov
  • A. StepanenkoA. Stepanenko
  • O. GamayunO. Gamayun
  • Y. HeY. He
  • A. SarikyanA. Sarikyan
  • A. V. KosyakA. V. Kosyak
  • E. SobkoE. Sobko
  • A. EsterovA. Esterov
  • A. OchirovA. Ochirov
  • M. ReevesM. Reeves
  • T. FinkT. Fink
  • G. CaldarelliG. Caldarelli
  • R. HannamR. Hannam
  • A. CoolenA. Coolen
  • O. DahlstenO. Dahlsten
  • A. MozeikaA. Mozeika
  • M. BardosciaM. Bardoscia
  • P. BaruccaP. Barucca
  • M. RowleyM. Rowley
  • I. TeimouriI. Teimouri
  • F. AntenucciF. Antenucci
  • A. ScalaA. Scala
  • R. FarrR. Farr
  • A. ZegaracA. Zegarac
  • S. SebastioS. Sebastio
  • B. BollobásB. Bollobás
  • F. LafondF. Lafond
  • D. FarmerD. Farmer
  • C. PickardC. Pickard
  • T. ReevesT. Reeves
  • J. BlundellJ. Blundell
  • A. GallagherA. Gallagher
  • M. PrzykuckiM. Przykucki
  • P. SmithP. Smith
  • L. PietroneroL. Pietronero
  • Memristive networks: from graph theory to statistical physics

    Neurocomputing

    AZA. ZegaracFCF. Caravelli EPL

    Memristive networks

    A simple solvable model of memristive networks suggests a correspondence between the asymptotic states of memristors and the Ising model.

Memristive networks: from graph theory to statistical physics

A simple solvable model of memristive networks suggests a correspondence between the asymptotic states of memristors and the Ising model.

EPL 125, 1 (2019)

A. Zegarac, F. Caravelli

202404
202404
202404
202404
LCP
202404
202404
202404
202404
202404
202404
202404
202404
202404
202404
202404
202404

Some data hasn't been fetched...