2D Piezo‐Ferro‐Opto‐Electronic Artificial Synapse for Bio‐Inspired Multimodal Sensory Integration

Multimodal sensory integration is vital for the evolution of artificial intelligence, yet current approaches often rely on physically connecting distinct sensing units (such as visual and tactile devices) through external circuits, leading to data transmission delays and information loss. Here, a groundbreaking paradigm is demonstrated for integrating visual-tactile fusion perception in one device with a single functional material. This is achieved by developing an unprecedented 2D Piezo-Ferro-Opto-Electronic (PFOE) Artificial Synapse, which combines the comprehensive ferroelectricity (for synaptic behaviors), piezoelectricity (for tactile modulation), and optoelectronic responsiveness (for visual detection) of strained 2D NbOI<sub>2</sub>. Under the synergistic influence of light and strain, the device exhibits remarkable persistent photoconductivity (PPC), a notable increase in paired-pulse facilitation (PPF) index (from 116% to 180%), and a reduction in the power exponent of the sublinear power-law fitting photocurrent curve (from 0.797 to 0.376). These features enhance the clarity and recognition of fingerprint images that integrate visual and tactile information. The work provides a robust foundation for integrating multisensory capabilities into advanced human-machine interfaces and artificial intelligence systems, marking a significant leap forward in the development of multifunctional neuromorphic devices.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-04-07
DOI
https://doi.org/10.1002/adma.202500049
Citations
37
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
24.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

2D Piezo‐Ferro‐Opto‐Electronic Artificial Synapse for Bio‐Inspired Multimodal Sensory Integration

Yin Dai, Tianyou Zhai, Bailing Song, Menghao Wu et al.
37 citations
Advanced Materials
Advanced Sensor and Energy Harvesting Materials
24.94
article

2D Piezo‐Ferro‐Opto‐Electronic Artificial Synapse for Bio‐Inspired Multimodal Sensory Integration

Yin Dai, Tianyou Zhai, Bailing Song, Menghao Wu, Decai Ouyang, Yuan Li, Mengqi Wang, Wenke He, Da Huo, Wenhua Hu
article en
37 citations

Abstract

Multimodal sensory integration is vital for the evolution of artificial intelligence, yet current approaches often rely on physically connecting distinct sensing units (such as visual and tactile devices) through external circuits, leading to data transmission delays and information loss. Here, a groundbreaking paradigm is demonstrated for integrating visual-tactile fusion perception in one device with a single functional material. This is achieved by developing an unprecedented 2D Piezo-Ferro-Opto-Electronic (PFOE) Artificial Synapse, which combines the comprehensive ferroelectricity (for synaptic behaviors), piezoelectricity (for tactile modulation), and optoelectronic responsiveness (for visual detection) of strained 2D NbOI<sub>2</sub>. Under the synergistic influence of light and strain, the device exhibits remarkable persistent photoconductivity (PPC), a notable increase in paired-pulse facilitation (PPF) index (from 116% to 180%), and a reduction in the power exponent of the sublinear power-law fitting photocurrent curve (from 0.797 to 0.376). These features enhance the clarity and recognition of fingerprint images that integrate visual and tactile information. The work provides a robust foundation for integrating multisensory capabilities into advanced human-machine interfaces and artificial intelligence systems, marking a significant leap forward in the development of multifunctional neuromorphic devices.

Advanced MaterialsVol. 37(24)
Wuhan University of Technology (CN), Huazhong University of Science and Technology (CN)
Innovative Research Group Project of the National Natural Science Foundation of China, National Natural Science Foundation of China, Huazhong University of Science and Technology, Industrial Technology Research Institute, National Key Research and Development Program of China, Shenzhen Science and Technology Innovation Program
Openalex Percentile: Top 0%
Advanced Sensor and Energy Harvesting Materials
24.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.