Results 101 to 110 of about 1,839 (214)

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation

Advanced Intelligent Systems, EarlyView.
SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang, Chong Wang, Yingao Xu, Shihan Wang, Houping Wu, Yulian Peng, Hongbo Wang   +6 more
wiley   +1 more source

Multiscale Spectral Generalized Finite Element Methods for Discontinuous Galerkin Schemes

CoRR
We propose a multiscale spectral generalized finite element method (MS-GFEM) for discontinuous Galerkin (DG) discretizations. The method builds local approximations on overlapping subdomains as the sum of a local source solution and a correction from an optimal spectral coarse space, which is obtained from a generalized eigenproblem.
Christian Alber, Lukas Holbach
openaire   +2 more sources

Complexity Analysis of Bubble Plumes in Power Law Fluids Based on Chaos Theory

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reveal the complexity of the internal flow of bubble plume in power law fluid, the flow characteristics and chaotic characteristics of plume are studied by experiment and theory. The chaotic characteristic parameters (correlation dimension D, K entropy, and Lyapunov exponent λ) of gas velocity under different superficial gas ...
Xin Dong, Chong Dong, Can Xue, Meiheng Peng, Ying Feng, Jianwei Zhang, Yinuo Liu   +6 more
wiley   +1 more source

Enhanced Mass Transport and Elevated Active Site Density for Highly Efficient Overall Water Splitting Over Delignification‐Engineered Carbonized Wood

Carbon Energy, EarlyView.
Controlled delignification pretreatment tailors the hierarchical porous structure of wood to improve ion transport and create abundant anchoring sites for Ni/Ni(OH)2 catalysts. The optimized electrode shows enhanced mass transfer, increased active site density, and superior overall water‐splitting performance, demonstrating delignification as an ...
Ting He, Jiang Wei, Yakun Gao, Jianrong Zeng, Ziyun Xi, Hongling Qin, Qiuhong Lu, Jingjing Chen, Xin Feng, Xiaohua Lu, Libo Yao, Honglei Zhang, Lilong Zhang, Ge Meng, Lejin Xu, Jiahua Zhu   +15 more
wiley   +1 more source

Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics

Carbon Energy, EarlyView.
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang, Wenhan Yang, Annan Zhu, Yuexin Lin, Zhaohui Xie, Ran Chen, Wenjing Zhu, Jin Liu, Yingjie Zhu, Wenye Jiang, Zhiyuan Gu, Kaiyang Wang, Shengchun Yang, Nan Zhang, Chao Liang   +14 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +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

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

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source