Results 121 to 130 of about 51,673 (214)

Top‐Down Fabricated Wood‐Derived Pressure and Strain Sensors: A Review

Advanced Science, EarlyView.
This review focuses on wood‐derived pressure/strain sensors fabricated via top‐down strategies. It analyzes wood's structural composition, examines processing techniques, discusses sensor types and sensing mechanisms, and reviews existing research. The article concludes with future directions for enhancing performance and scalability.
Yi Ren, Fuyao Liu, Yanan Zhong, Shengbo Ge, Zhipeng Shi, Siling Lin, Hongli Song, Yingying Zhang, Wei Fan   +8 more
wiley   +1 more source

Ligand-exchange-assisted printing of colloidal nanocrystals to enable all-printed sub-micron optoelectronics. [PDF]

Nat Commun
Zhao Z, An R, Liu Y, Jung BK, Ahn JH, Yang N, Wei G, Choy WCH, Li LJ, Oh SJ, Kim JT, Zhao T.   +11 more
europepmc   +1 more source

Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation

Advanced Science, EarlyView.
In the review paper, design rationale and approaches for bioinspired sensors and actuators in robotics applications are presented. These bioinspired microstructure strategies implemented in both can improve the performance in several ways. Also, recent ideas and innovations that embed robotic materials with logic and computation with it are part of the
Sakshi Sakshi, Rohit Pratyush Behera, Hongyu Zhou, Yifan Wang, Hortense Le Ferrand   +4 more
wiley   +1 more source

New frontier of hybrid energy storage devices: evolution of capacitive mechanisms and escalation of nanocomposite materials. [PDF]

RSC Adv
Farsi S, Rahman M, Dey TK, Ahammad AJS, Jamal M.   +4 more
europepmc   +1 more source

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

Fabrication of low-tortuosity thick electrodes with low material loss by temporally shaped ultraviolet femtosecond laser. [PDF]

Nat Commun
Wu J, Guo H, Wang R, Jiang L, Li X, Zhang J, Jia R, Tian M, Liu Y, Wang X, Zhao R, Liao X, Cheng Q.   +12 more
europepmc   +1 more source

A Review on Biodegradable Materials of Sustainable Soft Robotics and Electronics

Advanced Science, EarlyView.
Biodegradable materials are gaining increasing attention in soft robotics and electronics due to their environmental friendliness, showing great potential for sustainability. In this review, the classification of biodegradable materials, their applications in the field of soft robotics and electronics, as well as the challenges and future prospects ...
Yizhu Xie, Jiaxin Han, Xingyi Dai, Xuyang Zhang, Kangwen Xiao, Junhui Huang, Yajun Cao, Aihua Zhong, Long‐Biao Huang   +8 more
wiley   +1 more source

Microtube-integrated chips for modular electrical stimulation and 3D confined neural network growth. [PDF]

Microsyst Nanoeng
Qiu Y, Wang X, Yu H, Zheng J, Wang J, Liu L, Li WJ.   +6 more
europepmc   +1 more source

Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium

Advanced Science, EarlyView.
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du, Rui Deng, Ya Wu, Hong‐Xia Ren, Zong‐Hong Lin, Yang‐Bao Miao   +5 more
wiley   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

Advanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na, Soobin Park, Younsu Jung, Jinhwa Park, Jimin Hong, Jihyun Lee, Albert Kim, Bongjun Kim, Gyoujin Cho, Eunju Cha, Seung Hyun Song   +10 more
wiley   +1 more source