000 03208nam a22004695i 4500
001 978-1-4614-9068-5
003 DE-He213
005 20200420220225.0
007 cr nn 008mamaa
008 131206s2014 xxu| s |||| 0|eng d
020 _a9781461490685
_9978-1-4614-9068-5
024 7 _a10.1007/978-1-4614-9068-5
_2doi
050 4 _aTK7888.4
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
082 0 4 _a621.3815
_223
245 1 0 _aMemristors and Memristive Systems
_h[electronic resource] /
_cedited by Ronald Tetzlaff.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2014.
300 _aX, 409 p. 197 illus., 148 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart I Introduction -- How We Found the Missing Memristor -- Vignettes from Memristor -- Part II Theory, Modeling and Simulation -- The Art and Science of Constructing a Memristor Model -- Fourth Fundamental Circuit Element: SPICE Modeling and Simulation -- Part III Memristive Devices and Applications -- Application of the Volterra Series Paradigm to Memristive Systems -- Memristive Devices: Switching Effects, Modeling, and Applications -- Redox-based Memristive Devices -- Silicon Nanowire-based Memristive Systems -- Spintronic Memristor as Interface Between DNA and Solid State Devices.
520 _aThis book provides a comprehensive overview of current research on memristors, memcapacitors and, meminductors. In addition to an historical overview of the research in this area, coverage includes the theory behind memristive circuits, as well as memcapacitance, and meminductance.  Details are shown for recent applications of memristors for resistive random access memories, neuromorphic systems and hybrid CMOS/memristor circuits. Methods for the simulation of memristors are demonstrated and an introduction to neuromorphic modeling is provided. �         Provides a single-source reference to the state of the art in memristor research; �         Explains the theory of memristors and memristive networks; �         Demonstrates a variety of memristor realizations with focus on resistive random access memories; �         Enables readers to use neuromorphic modeling to understand complex phenomena in biological systems.
650 0 _aEngineering.
650 0 _aElectronic circuits.
650 0 _aElectronics.
650 0 _aMicroelectronics.
650 1 4 _aEngineering.
650 2 4 _aCircuits and Systems.
650 2 4 _aElectronics and Microelectronics, Instrumentation.
650 2 4 _aElectronic Circuits and Devices.
700 1 _aTetzlaff, Ronald.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461490678
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-9068-5
912 _aZDB-2-ENG
942 _cEBK
999 _c52169
_d52169