Toward an AI Era: Advances in Electronic Skins
Electronic skins (e-skins) have seen intense research and rapid development in the past two
decades. To mimic the capabilities of human skin, a multitude of flexible/stretchable sensors …
decades. To mimic the capabilities of human skin, a multitude of flexible/stretchable sensors …
Machine learning and analytical methods for single-molecule conductance measurements
Single-molecule measurements of single-molecule conductance between metal nanogap
electrodes have been actively investigated for molecular electronics, biomolecular analysis …
electrodes have been actively investigated for molecular electronics, biomolecular analysis …
Highly stretchable, highly sensitive, and antibacterial electrospun nanofiber strain sensors with low detection limit and stable CNT/MXene/CNT sandwich conductive …
J He, X Zou, W Wang, M Chen, S Jiang… - Industrial & …, 2023 - ACS Publications
With the rise of the concept of “Internet of Everything”, the development of wearable sensing
devices is growing rapidly. Among them, crack-based strain sensors have received much …
devices is growing rapidly. Among them, crack-based strain sensors have received much …
Lithographically Defined Zerogap Strain Sensors
MH Moghaddam, DJC Dalayoan, D Park, Z Wang… - ACS …, 2024 - ACS Publications
Metal thin films on soft polymers provide a unique opportunity for resistance-based strain
sensors. A mechanical mismatch between the conductive film and the flexible substrate …
sensors. A mechanical mismatch between the conductive film and the flexible substrate …
Decoding silent speech commands from articulatory movements through soft magnetic skin and machine learning
Silent speech interfaces have been pursued to restore spoken communication for
individuals with voice disorders and to facilitate intuitive communications when acoustic …
individuals with voice disorders and to facilitate intuitive communications when acoustic …
Ultrathin Bioelectrode Array with Improved Electrochemical Performance for Electrophysiological Sensing and Modulation
X Du, L Yang, X Shi, C Ye, Y Wang, D Song, W Xiong… - ACS …, 2024 - ACS Publications
To achieve high accuracy and effectiveness in sensing and modulating neural activity,
efficient charge-transfer biointerfaces and a high spatiotemporal resolution are required …
efficient charge-transfer biointerfaces and a high spatiotemporal resolution are required …
Research on predicting hematoma expansion in spontaneous intracerebral hemorrhage based on deep features of the VGG-19 network
F Wu, P Wang, H Yang, J Wu, Y Liu… - Postgraduate …, 2024 - academic.oup.com
Purpose To construct a clinical noncontrastive computed tomography (NCCT) deep learning
joint model for predicting early hematoma expansion (HE) after cerebral hemorrhage (sICH) …
joint model for predicting early hematoma expansion (HE) after cerebral hemorrhage (sICH) …
Ultrasensitive textile strain sensors redefine wearable silent speech interfaces with high machine learning efficiency
This work introduces a silent speech interface (SSI), proposing a few-layer graphene (FLG)
strain sensing mechanism based on thorough cracks and AI-based self-adaptation …
strain sensing mechanism based on thorough cracks and AI-based self-adaptation …
A piezoelectric MEMS speaker with a combined function of a silent alarm
Q Wang, T Ruan, Q Xu, Z Hu, B Yang, M You, Z Lin… - Micromachines, 2023 - mdpi.com
To explore the versatility of speakers, a piezoelectric micro-electro-mechanical system
(MEMS) speaker combining the function of a silent alarm is proposed, which mainly …
(MEMS) speaker combining the function of a silent alarm is proposed, which mainly …
All-Optical Diffractive Deep Neural Networks Enabled Laser-Reduced Graphene Oxide Tactile Sensor for Braille Recognition
All-optical diffractive deep neural networks (D2NNs) show a wide range of applications in
image recognition and artificial vision due to their advantages of high-speed parallel …
image recognition and artificial vision due to their advantages of high-speed parallel …