High‐Precision Multibit Opto‐Electronic Synapses Based on ReS 2 /h‐BN/Graphene Heterostructure for Energy‐Efficient and High‐Accuracy Neuromorphic Computing
Tianjin University · Research Institute of Precision Instruments (Russia) · +5 more institutions
Abstract
Abstract Neuromorphic computing integrates sensing, memory, and computation to surpass the von Neumann bottleneck. Opto‐electronic synapses, capable of handling both optical and electrical signals, closely emulate biological synapses and enable advanced neuromorphic functionalities. Among them, optoelectronic floating‐gate transistors (OEFGTs) based on 2D van der Waals (vdW) heterostructures offer high bandwidth, minimal crosstalk, and multilevel data storage. However, improving optical synaptic weights remains crucial for enhancing learning efficiency and reducing power consumption. In this study, an OEFGT‐based opto‐electronic synapse using a rhenium disulfide/hexagonal boron nitride/graphene (ReS₂/h‐BN/Gra)…
Citation impact
- FWCI
- 32.38
- Percentile
- 100%
- References
- 31
Authors
17- ZYZheyu Yang
Tianjin University, Research Institute of Precision Instruments (Russia), Beihang University
- SHShida Huo
Tianjin University, Research Institute of Precision Instruments (Russia)
- ZZZhe Zhang
Tianjin University, Research Institute of Precision Instruments (Russia)
- FMFanying Meng
Tianjin University, Research Institute of Precision Instruments (Russia)
- BLBaiyan Liu
Tianjin University, Research Institute of Precision Instruments (Russia)
Topics & keywords
- Neuromorphic engineering
- Materials science
- Graphene
- Heterojunction
- Optoelectronics
- Energy (signal processing)
- Nanotechnology
- Artificial neural network
Funding
- NSNational Science Foundation
- NNNational Natural Science Foundation of ChinaAwards: 52192614, 62304151, 62474124, 52250398, 62204170, 52125205, 52203307
- CPChina Postdoctoral Science FoundationAward: 2023M742585
- NSNatural Science Foundation of Tianjin CityAward: 24JCQNJC00520
- SKState Key Laboratory of Fluid Power and Mechatronic SystemsAwards: GZKF‐202327, GZKF-202327