Results 231 to 240 of about 12,322 (303)

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

Advanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni, Francesco Giuseppe Quilici, Davide Cademartori, Claudio Scarpelli, Uways Nurulain Mithoowani, Federica Barontini, Alessandro Ruvio, Monica Puccini, Giovanni Lutzemberger, Maria Paola Carpanese, Antonio Bertei   +10 more
wiley   +1 more source

Continuous-variable fault-tolerant quantum computation under general noise. [PDF]

Nat Commun
Matsuura T, Menicucci NC, Yamasaki H.
europepmc   +1 more source

DNA Nanoarray for Multiplexed RNA Detection With Single‐Molecule Readout

Advanced Science, EarlyView.
A carrier‐based DNA nanoarray integrates programmable nucleic acid hybridization with solid‐state nanopore readout for direct RNA detection at single‐molecule resolution. A ternary encoding system enables 27 carriers with 81 addressable sensing sites, allowing the simultaneous identification of targets spanning a wide size range, from short microRNAs ...
Yunxuan Li, Yesheng Wang, Chunmiao Yu, Siyu Hou, Elli Mylona, Plamena Naydenova, Jingyuan Zhao, Hong Yuan, Jingsong Duan, Hendrik F. P. Runge, Stephen Baker, Jinbo Zhu, Ulrich F. Keyser   +12 more
wiley   +1 more source

Small-Satellite System Fault Diagnosis via a Temporal-Spatial 3D-CNN with Imbalanced-Aware Training. [PDF]

Sensors (Basel)
Wang B, Goh ST, Tissera SC, Rai A, Zhang L.   +4 more
europepmc   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

GMD-YOLO: A Dual-Modality Framework with Multi-Scale Enhancement and Adaptive Fusion for PV Fault Detection. [PDF]

Sensors (Basel)
Lin Z, Wang X, Guo Y.
europepmc   +1 more source

Wireless, Adaptable and Fully Implantable Battery‐powered Devices for Optical Stimulation of the Spinal Cord in Small Rodents

Advanced Science, EarlyView.
Current technologies for spinal cord optogenetic stimulation rely on external power sources and face reliability constraints in freely behaving animals. Here, a fully implantable, battery‐powered optoelectronic device is introduced, enabling operation in any selected environment with wireless recharging for months‐long stimulation.
Shahriar Shalileh, Adan Moallemi, Elham Mohseni Vadeghani, Samuel Tretjakov, Brianna Tsuyuki, Alexander Golab, Benjamin Rever, Wolfram Tetzlaff, Dena Shahriari   +8 more
wiley   +1 more source

A condition monitoring dataset based on electrical signals for a squirrel cage induction generator. [PDF]

Data Brief
Tominaga RN, Barbosa SS, Sousa LA, Lunardi ADS, Rocha RV, Ávila SL, Carmo BS, Monaro RM, Salles MBC.   +8 more
europepmc   +1 more source

A Crack‐Based One‐Dimensional Microspheres Array Enables Thermal–Mechanical Decoupled Dual‐Functional Sensing

Advanced Science, EarlyView.
Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu, Hongyi Tu, Zehao Wang, Tianyu Zhu, Chao Wang, Min Chen, Lan Shi, Limin Wu   +7 more
wiley   +1 more source