The future of electronics based on memristive systems

@article{Zidan2018TheFO,
  title={The future of electronics based on memristive systems},
  author={Mohammed Affan Zidan and John Paul Strachan and W. D. Lu},
  journal={Nature Electronics},
  year={2018},
  volume={1},
  pages={22-29}
}
A memristor is a resistive device with an inherent memory. The theoretical concept of a memristor was connected to physically measured devices in 2008 and since then there has been rapid progress in the development of such devices, leading to a series of recent demonstrations of memristor-based neuromorphic hardware systems. Here, we evaluate the state of the art in memristor-based electronics and explore where the future of the field lies. We highlight three areas of potential technological… 
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References

SHOWING 1-10 OF 72 REFERENCES
Utilizing multiple state variables to improve the dynamic range of analog switching in a memristor
Memristors and memristive systems have been extensively studied for data storage and computing applications such as neuromorphic systems. To act as synapses in neuromorphic systems, the memristor
High-Precision Tuning of State for Memristive Devices by Adaptable Variation-Tolerant Algorithm
TLDR
A simple write algorithm is designed to tune device conductance at a specific bias point to 1% relative accuracy (which is roughly equivalent to seven-bit precision) within its dynamic range even in the presence of large variations in switching behavior.
Tuning Ionic Transport in Memristive Devices by Graphene with Engineered Nanopores.
TLDR
Graphene, with its atomic thickness and excellent impermeability and chemical stability, can be effectively integrated into the device stack and can offer unprecedented capabilities for the control of ionic dynamics at the nanoscale.
‘Memristive’ switches enable ‘stateful’ logic operations via material implication
TLDR
Bipolar voltage-actuated switches, a family of nonlinear dynamical memory devices, can execute material implication (IMP), which is a fundamental Boolean logic operation on two variables p and q such that pIMPq is equivalent to (NOTp)ORq.
A scalable neuristor built with Mott memristors.
TLDR
A neuristor built using two nanoscale Mott memristors, dynamical devices that exhibit transient memory and negative differential resistance arising from an insulating-to-conducting phase transition driven by Joule heating exhibits the important neural functions of all-or-nothing spiking with signal gain and diverse periodic spiking.
A hybrid nanomemristor/transistor logic circuit capable of self-programming
TLDR
The digitally configured memristor crossbars were used to perform logic functions, to serve as a routing fabric for interconnecting the FETs and as the target for storing information.
Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics
TLDR
It is shown that by taking advantage of the different time scales of internal oxygen vacancy (VO) dynamics in an oxide‐based memristor, diverse synaptic functions at different time scale can be implemented naturally.
Memristive devices and systems
A broad generalization of memristors--a recently postulated circuit element--to an interesting class of nonlinear dynamical systems called memristive systems is introduced. These systems are
Real-time encoding and compression of neuronal spikes by metal-oxide memristors
TLDR
It is proved that information on spike amplitude and frequency can be transduced and stored in single devices as non-volatile resistive state transitions and shown that a memristive device array allows for efficient data compression of signals recorded by a multi-electrode array.
The missing memristor found
TLDR
It is shown, using a simple analytical example, that memristance arises naturally in nanoscale systems in which solid-state electronic and ionic transport are coupled under an external bias voltage.
...
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