Two-dimensional materials for synaptic electronics and neuromorphic systems

Wang, Shuiyuan; Zhang, David Wei; Zhou, Peng

doi:10.1016/j.scib.2019.01.016

Cited by 84 publications

(63 citation statements)

References 131 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The human brain contains a large number of interconnected neurons (10 11 ) and synapses (10 15 ) where signal transmission occurs. [ 28,29 ] During an action potential, presynaptic neuron transmits the signal to the postsynaptic neuron in a junction called synapse. For example, when triggered by an action potential, the voltage‐dependent Ca 2+ ions flow into a presynaptic neuron and move through distinct channels that open in response to the changed voltage.…”

Section: Figurementioning

confidence: 99%

Halide Perovskite Quantum Dots Photosensitized‐Amorphous Oxide Transistors for Multimodal Synapses

Periyal

Jagadeeswararao

et al. 2020

Adv Materials Technologies

View full text Add to dashboard Cite

Deployment of novel artificial synapses serves as the crucial unit for building neuromorphic hardware to drive data‐intensive applications. Emulation of complex neural behavior through conventional Si‐based devices requires a large number of elements which increases fabrication complexity and brings challenges of connectivity. Hence, there is a need to investigate alternative material systems and device architectures for emulating richer neural behavior comprising of lesser elements. Herein, a thin‐film transistor‐like synaptic device using all‐inorganic cesium lead bromide (CsPbBr3) perovskite quantum dots (QDs) and amorphous indium gallium zinc oxide semiconductor active material is explored for brain‐inspired computing. The incorporation of CsPbBr3 QDs as a photosensitizer aids in realizing light‐dependent synaptic memory. Furthermore, type II heterostructure can serve as a basis for electro‐optical programming. The proposed artificial synapse demonstrates a materials combination that can decouple optical absorption and charge transport property and provides freedom to tune the spectral region. Harnessing the advantages of novel materials, the devices obey spike‐timing‐dependent plasticity rules, inculcate associative learning and linear nonvolatile blind updates. This architecture paves way for efficient building of neuromorphic hardware elements with facile tunability and tailorable plasticity.

show abstract

Section: Figurementioning

confidence: 99%

Halide Perovskite Quantum Dots Photosensitized‐Amorphous Oxide Transistors for Multimodal Synapses

Periyal

Jagadeeswararao

et al. 2020

Adv Materials Technologies

View full text Add to dashboard Cite

show abstract

“…The versatility of 2D materials together with their extraordinary properties offers a wealth of possibilities for the unprecedented parallel, energy-efficient, fault-tolerant synaptic electronics and neuromorphic systems. A timely literature review on the recent advances based on 2D materials was articulated by Zhou's group from Fudan University [13]. A brief introduction of synaptic plasticity and learning behavior was given firstly, followed by a summary of the main 2D materials library and preparation process, ranging from the conductors, semimetals to semiconductors and insulators.…”

Section: Qihua Xiongmentioning

confidence: 99%

Two-dimensional materials: new opportunities for electronics, photonics and optoelectronics

Xiong

2019

Science Bulletin

View full text Add to dashboard Cite

“…[33][34][35][36][37][38][39][40][41] The diversity can be further enhanced by assembling distinct 2D materials to van der Waals (vdW) heterostructures. [46][47][48][49][50][51][52] For example, graphene is semimetallic and suitable for electrodes of the memristive devices. [46][47][48][49][50][51][52] For example, graphene is semimetallic and suitable for electrodes of the memristive devices.…”

Section: Introductionmentioning

confidence: 99%

2D Layered Materials for Memristive and Neuromorphic Applications

Wang

Meng

et al. 2019

Adv Elect Materials

102

View full text Add to dashboard Cite

demonstrated that the memristive devices exhibit many promising features, [3][4][5][6][7][8] such as non-volatility, high speed switching, high endurance, high-density integration, CMOS-compatible fabrication, and so on. These features make them ideal candidates for applications in memory devices, [3,5,9] in-memory computing, [3,[10][11][12] and edge computing. [13,14] The working principle of the TMOs-based memristive devices relies on ion drift or diffusion, which resembles motion of ions in the biological neurons and synapses. The ionic motions exhibit dynamic behaviors. Thus, the memristive devices can be used to emulate the synaptic plasticity [15] and neurons. [16][17][18] Compared to traditional silicon synapses [19][20][21] and neurons [22,23] requiring complex circuits, such emerging memristive devices have compact structures and enhanced func-

show abstract

Two-dimensional materials for synaptic electronics and neuromorphic systems

Cited by 84 publications

References 131 publications

Halide Perovskite Quantum Dots Photosensitized‐Amorphous Oxide Transistors for Multimodal Synapses

Halide Perovskite Quantum Dots Photosensitized‐Amorphous Oxide Transistors for Multimodal Synapses

Two-dimensional materials: new opportunities for electronics, photonics and optoelectronics

2D Layered Materials for Memristive and Neuromorphic Applications

Contact Info

Product

Resources

About