Self-organization and emergence of dynamical structures in neuromorphic atomic switch networks

AZ Stieg, AV Avizienis, HO Sillin, R Aguilera… - Handbook of Memristor …, 2019 - Springer
The self-organization of dynamical structures in complex natural systems is associated with
an intrinsic capacity for computation. Beginning from the context of modern trends in …

Nanoarchitectonics for heterogeneous integrated nanosystems

KL Wang, K Galatsis, R Ostroumov… - Proceedings of the …, 2008 - ieeexplore.ieee.org
Based on projections of the International Roadmap for Semiconductors (ITRS), the
continued scaling of complementary metal–oxide semiconductor (CMOS) devices will face …

[图书][B] Selected advances in nanoelectronic devices: logic, memory and RF

M Joodaki - 2012 - books.google.com
Nanoelectronics, as a true successor of microelectronics, is certainly a major technology
boomer in the 21st century. This has been shown by its several applications and also by its …

Submicron ambipolar nanocrystalline silicon thin-film transistors and inverters

A Subramaniam, KD Cantley… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Nanocrystalline silicon (nc-Si) thin-film transistors (TFTs) fabricated at a maximum
processing temperature of 250° C operate with high field-effect mobility compared with …

A novel highly reliable low-power nano architecture when von Neumann augments Kolmogorov

V Beiu - Proceedings. 15th IEEE International Conference on …, 2004 - ieeexplore.ieee.org
This work presents a novel architecture, which is both device and circuit independent. The
starting idea is that computations can be performed in three fundamentally different ways …

Supramolecular chemistry on water–towards self-assembling molecular electronic circuitry

K Nørgaard, T Bjørnholm - Chemical communications, 2005 - pubs.rsc.org
Supramolecular chemistry on water – towards self-assembling molecular electronic circuitry -
Chemical Communications (RSC Publishing) DOI:10.1039/B417526N Royal Society of …

Global reinforcement learning in neural networks

X Ma, KK Likharev - IEEE Transactions on Neural Networks, 2007 - ieeexplore.ieee.org
In this letter, we have found a more general formulation of the REward Increment=
Nonnegative Factor times Offset Reinforcement times Characteristic Eligibility (REINFORCE) …

Prospects for the development of digital CMOL circuits

DB Strukov, KK Likharev - 2007 IEEE International Symposium …, 2007 - ieeexplore.ieee.org
This is a preliminary analysis of prospects and options for the development of hybrid
CMOS/nanoelectronic integrated circuits, in particular those of the" CMOL" variety. We …

Resistive switching effect in titanium oxides

Z Tang, Y Chi, L Fang, R Liu, X Yi - Journal of Nanoscience and …, 2014 - ingentaconnect.com
Resistive switching (RS) phenomena have been vigorously investigated in a large variety of
materials and highlighted for its preeminent potential for the future nonvolatile …

SPICE simulation of nanoscale non-crystalline silicon TFTs in spiking neuron circuits

KD Cantley, A Subramaniam… - 2010 53rd IEEE …, 2010 - ieeexplore.ieee.org
Electrical characteristics of nano-crystalline silicon (nc-Si) thin-film transistors (TFTs) are fit
using SPICE device models. The corresponding device model geometry is then extrapolated …