Results 171 to 180 of about 65,907 (244)

Heterogeneous Wettability‐Based Construction of Two‐Phase Interfaces for Underwater Reversible Adhesion

Advanced Science, EarlyView.
The design employs heterogeneous wettability surfaces that construct stable oil‐water interfaces to achieve robust and rapid reversible adhesion. Linear enhancement of adhesion strength is realized through multi‐interface patterning. This adhesive enables rapid on‐demand detachment within five seconds via voltage‐induced electrolysis, offering a level ...
Xiaokai Li, Yonghui Zhang, Yongxin Li, Jiahao Zhang, Yuheng Li, Zhengyu Li, Jianwu Wang, Yaochen Lv, Yanan Wang, Jiyu Liu, Xin Liu, Huanxi Zheng   +11 more
wiley   +1 more source

Prediction of Three-Dimensional Ground Reaction Forces in the Golf Swing Using Wearable Inertial Measurement Units and Biomimetic Deep Learning Models. [PDF]

Biomimetics (Basel)
Li J, Wei R, Xie Q, Wu C, Kim YH.
europepmc   +1 more source

Graphene‐Skinned Alumina Fiber: Continuously Scalable Fabrication and Its Electrothermal Application in Fiber‐Reinforced Polymer Composites

Advanced Science, EarlyView.
Graphene‐skinned alumina fiber (GAF) is a new composite with graphene conformally grown on individual alumina fibers via chemical vapor deposition (CVD). GAF's dynamic, continuous and scalable production is achieved by using a home‐made roll‐to‐roll (RTR) CVD system featuring integrated degumming and growth chambers. GAF possesses tunable conductivity,
Xiaobai Wang, Wenjing Jiang, Jingnan Wang, Yuejie Zhao, Enshan Liu, Fushun Liang, Yixin Zhang, Qingqing Liu, Kangyi Zheng, Yuyao Yang, Fan Yang, Xiao Jiang, Yue Qi, Zhongfan Liu   +13 more
wiley   +1 more source

An open-source test stand for backlash measurement in low-cost UART servo motors. [PDF]

HardwareX
Kotov B.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Engineering an Optogenetic pH‐Modulator in Bacteria

Advanced Science, EarlyView.
ABSTRACT Cells in many naturally occurring organisms routinely cooperate to control their extracellular pH in a dynamic and reversible manner, but this capability has been underexplored in synthetic biology. Here, we sought to engineer a microbial system that switches between two states —high and low extracellular pH— with minimal human intervention ...
Jenevieve Kuang, Olivia J. Armendarez, Wei‐Ting Chang, Matthew M. Hausladen, Shanna Bonanno, Daniel J. Wilson, Neel S. Joshi, Leila F. Deravi   +7 more
wiley   +1 more source

Distinguishing a Drone from Birds Based on Trajectory Movement and Deep Learning. [PDF]

Sensors (Basel)
Nesteruk A, Nikitin V, Albrekht Y, Ścisło Ł, Grela D, Król P.   +5 more
europepmc   +1 more source

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

Advanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang, Max Shotbolt, Mostafa Abdel‐Mottaleb, Shawnus Chen, Victoria Andre, Jieyuan Tian, Jonathan Shulgach, Max Murphy, Brian Noga, Ping Liang, Darcy Griffin, Douglas Weber, Marta Pardo, Salvador Pane, Sakhrat Khizroev   +14 more
wiley   +1 more source

AI-powered biomechanical modeling for ACL-reconstructed knees: predicting knee joint contact forces via computer vision and deep learning. [PDF]

J Neuroeng Rehabil
Chen T, Zhou Z, Xu D, Yuan Y, Zhou H, Ge Q, Jie T, Wang M, Xiang L, Fekete G, Ugbolue UC, Gu Y.   +11 more
europepmc   +1 more source