Toward an AI Era: Advances in Electronic Skins

X Fu, W Cheng, G Wan, Z Yang, BCK Tee - Chemical Reviews, 2024 - ACS Publications
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 …

Machine learning and analytical methods for single-molecule conductance measurements

Y Komoto, J Ryu, M Taniguchi - Chemical Communications, 2023 - pubs.rsc.org
Single-molecule measurements of single-molecule conductance between metal nanogap
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 …

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 …

Decoding silent speech commands from articulatory movements through soft magnetic skin and machine learning

P Dong, Y Li, S Chen, JT Grafstein, I Khan, S Yao - Materials Horizons, 2023 - pubs.rsc.org
Silent speech interfaces have been pursued to restore spoken communication for
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 …

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) …

Ultrasensitive textile strain sensors redefine wearable silent speech interfaces with high machine learning efficiency

C Tang, M Xu, W Yi, Z Zhang, E Occhipinti… - npj Flexible …, 2024 - nature.com
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 …

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 …

All-Optical Diffractive Deep Neural Networks Enabled Laser-Reduced Graphene Oxide Tactile Sensor for Braille Recognition

X Liu, L Fang, F Zhang, Q Zhang, Z Wan… - ACS Applied Electronic …, 2024 - ACS Publications
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 …