The Birth of a New Field: Memristive Sensors. A Review

@article{Carrara2021TheBO,
  title={The Birth of a New Field: Memristive Sensors. A Review},
  author={Sandro Carrara},
  journal={IEEE Sensors Journal},
  year={2021},
  volume={21},
  pages={12370-12378}
}
  • S. Carrara
  • Published 8 December 2020
  • Chemistry
  • IEEE Sensors Journal
Over the last 11 years, the field of Memristive Sensors abruptly emerged in literature. The present review paper has the aim to acknowledge such an exciting new field of research as well as to critically review its most significant outcomes. As usual in science and technology, only the concept of a new sensor has been drawn and simulated in some cases, while real demonstrators have been designed, fabricated, and demonstrated in several other cases. Moreover, several new sensing methods have… 
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References

SHOWING 1-10 OF 78 REFERENCES
VTEAM: A General Model for Voltage-Controlled Memristors
TLDR
The VTEAM model extends the previously proposed ThrEshold Adaptive Memristor (TEAM) model, which describes current-controlled memristors and has similar advantages as the TEAM model, i.e., it is simple, general, and flexible, and can characterize different voltage-controlled Memristors.
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.
The memristive effect as a novelty in drug monitoring.
TLDR
The results presented in this work demonstrate that the coupling of the memristive effect and aptamer regeneration provides the best ever realized nano-biosensor for drug detection also in full human serum.
The Missing Memristor has Not been Found
TLDR
It is maintained that the originally hypothesized real memristor device is missing and likely impossible, and the argument is illustrated also by finding an ideal mechanical Memristor element and purely mechanical memristive systems, and hypothesizing a real mechanical mem Bristor device that requires inert mass just like the 1971 implied device requires magnetic induction.
Ultrasensitive detection of Ebola matrix protein in a memristor mode
We demonstrate the direct biosensing of the Ebola VP40 matrix protein, using a memristor mode of a liquid-integrated nanodevice, based on a large array of honeycomb-shaped silicon nanowires. To shed
Memristor-based devices for sensing
TLDR
The reproducibility of the measurement based on the memristive voltage gap is demonstrated, and a correlation between the decreasing behavior of the voltage gap and the increasing concentrations of VEGF is demonstrated.
A Proposal for Hybrid Memristor-CMOS Spiking Neuromorphic Learning Systems
TLDR
A hybrid memristor-CMOS system architecture with the potential of implementing a large scale STDP learning spiking neural system is proposed, which would eventually allow to implement real-time brain-like processing learning systems with about neurons and synapses on one single Printed Circuit Board (PCB).
MemSens: Memristor-Based Radiation Sensor
Resistive random-access memory (RRAM) technology has been gaining importance due to scalability, low power, non-volatility, and the ability to perform in-memory computing. The RRAM sensing
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