Title :
Characterization of memristive Poly-Si Nanowires via empirical physical modelling
Author :
Archontas, Nikolaos ; Georgiou, Julius ; Ben Jamaa, M. Haykel ; Carrara, Sandro ; De Micheli, Giovanni
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
fDate :
May 30 2010-June 2 2010
Abstract :
Memristors are passive circuit elements that behave as resistors with memory. The recently illustrated experimental realization of memristive behaviour of Polysilicon Nanowires has triggered interest in this concept, which is promising to a wide variety of application areas that include neuromorphic circuits. In order to progress with practical implementations that use this technology we need to expand our understanding of the conduction mechanisms in these structures and of the underlying relationship between device behavior and process manufacturing parameters. In this paper we explore these mechanisms through detailed simulation, which includes model calibration and correlation with experimental results. Through fitting of the test results we identify a unique set of density of states that characterize the particular technology implemented.
Keywords :
memristors; nanowires; passive networks; silicon; Si; conduction mechanisms; empirical physical modelling; memristive poly-Si nanowires; memristors; neuromorphic circuits; passive circuit elements; polysilicon nanowires; Calibration; Circuit simulation; Fitting; Manufacturing processes; Memristors; Nanowires; Neuromorphics; Passive circuits; Resistors; Testing;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537496