Multimodal In‐Sensor Computing Implemented by Easily‐Fabricated Oxide‐Heterojunction Optoelectronic Synapses
Shandong University · Harbin Institute of Technology · +3 more institutions
Abstract
Abstract The advent of big data and the Internet of Things has created urgent demands for in‐sensor computing hardware with multimodal perception that can effectively resolve the inefficiency, high latency, and excessive energy consumption challenges faced by conventional sensory systems. Here, a simple‐structured optoelectronic synaptic device of In 2 O 3 ·SnO 2 /Nb:SrTiO 3 (ITO/NSTO) heterostructure is proposed, which vividly demonstrates in‐sensor computing and multimodal perception capabilities. First, with the ingenious synaptic responses of the device under both optical and electrical stimuli, a multimodal in‐sensor neuromorphic computing system capable of concurrently perceiving and processing visual…
Citation impact
- FWCI
- 21.98
- Percentile
- 100%
- References
- 50
Authors
9- HFHongyuan Fang
Shandong University, Harbin Institute of Technology, University of Jinan
- SMShuanger Ma
Shandong University
- JWJie Wang
Shandong University, Harbin Institute of Technology, University of Jinan
- LZLe ZhaoCorresponding
Qilu University of Technology, Shandong Academy of Sciences
- FNFang Nie
Shandong University
Topics & keywords
- Neuromorphic engineering
- Computer science
- Materials science
- Efficient energy use
- Artificial intelligence
- Electrical engineering
- Artificial neural network
- Engineering
- Affordable and clean energy