Sahad E et al., 2025 - Google Patents
Side‐Gated Iontronic Memtransistor: A Fast and Energy‐Efficient Neuromorphic Building BlockSahad E et al., 2025
- Document ID
- 13016911025863959766
- Author
- Sahad E M
- Bej S
- Das B
- Publication year
- Publication venue
- Small
External Links
Snippet
Iontronic memtransistors have emerged as technologically superior to conventional memristors for neuromorphic applications due to their low operating voltage, additional gate control, and enhanced energy efficiency. In this study, a side‐gated iontronic organic …
- 210000004556 brain 0 abstract description 15
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
-
- G—PHYSICS
- G11—INFORMATION STORAGE
- G11C—STATIC STORES
- G11C13/00—Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00
- G11C13/0002—Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00 using resistance random access memory [RRAM] elements
- G11C13/0009—RRAM elements whose operation depends upon chemical change
-
- G—PHYSICS
- G11—INFORMATION STORAGE
- G11C—STATIC STORES
- G11C13/00—Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00
- G11C13/0002—Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00 using resistance random access memory [RRAM] elements
- G11C13/0007—Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00 using resistance random access memory [RRAM] elements comprising metal oxide memory material, e.g. perovskites
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Nonlinearity in memristors for neuromorphic dynamic systems | |
| Chen et al. | All-ferroelectric implementation of reservoir computing | |
| Del Valle et al. | A caloritronics-based Mott neuristor | |
| Gerasimov et al. | An evolvable organic electrochemical transistor for neuromorphic applications | |
| John et al. | Synergistic gating of electro‐iono‐photoactive 2D chalcogenide neuristors: coexistence of hebbian and homeostatic synaptic metaplasticity | |
| Wu et al. | Artificial synaptic devices based on natural chicken albumen coupled electric-double-layer transistors | |
| Alibart et al. | Pattern classification by memristive crossbar circuits using ex situ and in situ training | |
| Wu et al. | Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability | |
| Du et al. | Dual‐gated MoS2 transistors for synaptic and programmable logic functions | |
| Kim et al. | Pattern recognition using carbon nanotube synaptic transistors with an adjustable weight update protocol | |
| John et al. | Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networks | |
| Seok et al. | Beyond von Neumann architecture: Brain‐inspired artificial neuromorphic devices and integrated computing | |
| Zhang et al. | A self-rectifying synaptic memristor array with ultrahigh weight potentiation linearity for a self-organizing-map neural network | |
| Ren et al. | Threshold-tunable, spike-rate-dependent plasticity originating from interfacial proton gating for pattern learning and memory | |
| Li et al. | Energy-efficient artificial synapses based on oxide tunnel junctions | |
| Zhang et al. | Implementation of simple but powerful trilayer oxide-based artificial synapses with a tailored bio-synapse-like structure | |
| Cai et al. | Molecular ferroelectric/semiconductor interfacial memristors for artificial synapses | |
| Wlazlak et al. | Memristor in a reservoir system—experimental evidence for high-level computing and neuromorphic behavior of pbi2 | |
| Zheng et al. | Flexible floating-gate electric-double-layer organic transistor for neuromorphic computing | |
| Ranjan et al. | Passive filters for nonvolatile storage based on capacitive-coupled memristive effects in nanolayered organic–inorganic heterojunction devices | |
| Chougale et al. | Bioinspired soft multistate resistive memory device based on silk fibroin gel for neuromorphic computing | |
| Chougale et al. | Highly flexible and asymmetric hexagonal‐shaped crystalline structured germanium dioxide‐based multistate resistive switching memory device for data storage and neuromorphic computing | |
| Li et al. | Artificial funnel nanochannel device emulates synaptic behavior | |
| An et al. | Programmable Optoelectronic Synaptic Transistors Based on MoS2/Ta2NiS5 Heterojunction for Energy‐Efficient Neuromorphic Optical Operation | |
| Wan et al. | Low‐voltage electrochemical LixWO3 synapses with temporal dynamics for spiking neural networks |