Results 231 to 240 of about 32,619 (304)

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Dynamic Analysis of Bi-Stable Galloping Energy Harvesters Under Random Excitation. [PDF]

Micromachines (Basel)
Zhang Y, Qin R, Zheng K, Zhang J.
europepmc   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Evaluation the low cost of vibration and acoustics techniques based on novel cavitation detecting in axial pumps by varying load conditions and statistical method. [PDF]

Sci Rep
Al-Obaidi AR, Alwatban A.
europepmc   +1 more source

Bio‐Inspired Robust Non‐combustible Bioplastic with Superinsulated Energy Harvesting for Intelligent Firefighting

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study develops a novel non‐combustible chitosan‐based bioplastic (NCCB) via ethanol‐induced surface assembly. The material's inherent flame retardancy and thermally insulating, rough surface enable high‐performance TENGs. The NCCB‐TENG maintains stable output even when exposed to fire and exhibits dual sensitivity to temperature (25–200°C) and ...
Qilin Lu, Liying Zhang, Pengyun Zhang, Junjie Wang, Huamin Chen, Hanchen Wang   +5 more
wiley   +1 more source

Deep Learning-Assisted Rapid Bacterial Classification Based on Raman Spectroscopy of Bacteria Lysed by Acoustically Driven Fiber-Tip Vibration. [PDF]

Adv Sci (Weinh)
Liu Y, Ji M, Ren X, Dong Z, Wen T, Dong Q, Ho HP, Cui L, Lu Y, Wang G.   +9 more
europepmc   +1 more source

Entropy‐Driven Innovations: Entropy Stabilized Oxides for High‐Performance Next‐Generation Lithium–Sulfur Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This article explores high‐entropy‐stabilized oxides (HEOs) as novel functional materials for addressing critical issues in lithium–sulfur (Li–S) batteries, including lithium polysulfide (LPS) shuttling, inadequate conductivity, and slow redox kinetics.
Hassan Raza, Jialiang Wei, Zhicai Wang, Zhaoyang Lv, Junye Cheng, Jia Xu, Liang An, Yuliang Liu, Sergey Ryazantsev, Shukui Li, Guangping Zheng   +10 more
wiley   +1 more source

Experimental investigation of surface roughness effects on energy harvesting from a piezoelectric eel behind a cylindrical bluff body. [PDF]

PLoS One
Bucha MH, Khan NB, Uddin E, Riaz HH, Munir A, Farooq U, Zhao M, Muhammad R, Jameel M, Nasir MT, Qadri MNM.   +10 more
europepmc   +1 more source

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

Fluidic Response and Sensing Mechanism of Meissner's Corpuscles to Low-Frequency Mechanical Stimulation. [PDF]

Sensors (Basel)
Chen S, Yuan T, Yang Z, Ru W, Yang N.
europepmc   +1 more source