Results 231 to 240 of about 92,354 (339)

Electromagnetic Interference (EMI) Shielding and Thermal Management of Sandwich-Structured Carbon Fiber-Reinforced Composite (CFRC) for Electric Vehicle Battery Casings [PDF]

Shi Hu, Dan Wang, Josef Večerník, Dana Křemenáková, Jiřı́ Militký   +4 more
openalex   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Electromagnetic shielding effectiveness of three-dimensional multilayered interlaced woven fabrics using stainless steel fibers. [PDF]

Heliyon
Sirková BK, Tunáková V, Tunák M, Jezik K.   +3 more
europepmc   +1 more source

Multifunctional ConductiveElastomeric Compositesfor Broadband Electromagnetic Radiation Shielding and BiomechanicalEnergy Harvesting

Shovan Biswas (21471486), Palash Das (13524166), Sayan Chakraborty (234378), Jasomati Nayak (15372433), Ajay Haridas CP (19489982), Ankur Katheria (15372430), Titash Mondal (1403470), Samit K. Ray (1583569), Narayan Ch. Das (5504021)   +8 more
openalex   +1 more source

Engineering in‐plane porosity in MXenes for energy storage: Correlating synthesis strategies with pore structure control

InfoMat, EarlyView.
MXenes are considered highly promising next‐generation energy storage materials due to their exceptional physicochemical and electrochemical properties, yet their electrochemical performance is severely hindered by nanosheet restacking. Constructing in‐plane pores directly on MXene nanosheets has emerged as an effective strategy to accelerate ion ...
Zhao Li, Pu Yang, Daotong Zhang, Kai Yang, Chaozheng Liu, Weimin Chen, Xiaoyan Zhou, Feng Jiang   +7 more
wiley   +1 more source

Superior through‐plane thermal conductivity in carbon fibers/spherical graphene/epoxy laminated composites for low‐altitude aircrafts

InfoMat, EarlyView.
To address the low through‐plane thermal conductivity (λ⊥) of carbon fiber/epoxy composites, which poses thermal management challenges in the expanding low‐altitude economy, we incorporated spherical thermally reduced graphene (s‐TRG) as a bridging filler. This architectural design achieved a λ⊥ of 2.73 W m–1 K–1 at 10 wt% loading.
Shengyuan Gao, Hua Guo, Yongqiang Guo, Hua Qiu, Wei Gong, Junwei Gu   +5 more
wiley   +1 more source

3D Printing of Periodic Porous Metamaterials for Tunable Electromagnetic Shielding Across Broad Frequencies. [PDF]

Nanomicro Lett
Lv Q, Peng Z, Pei H, Zhang X, Chen Y, Zhang H, Zhu X, Wu S.   +7 more
europepmc   +1 more source

Bio‐inspired nanophotonics: Structural color, chirality, and resonance metasurfaces

InfoMat, EarlyView.
A butterfly‐wing‐inspired anisotropic plasmonic flatband resonant metasurface. Insets, photo of the butterfly, Sasakia charonda, and the SEM image of its wing scale (above); the SEM image of the metasurface (below). Abstract The dazzling colors of butterfly wings and hummingbird feathers are not painted with pigments, but crafted by nature's invisible ...
Weihan Liu, Yao Liang, Din Ping Tsai
wiley   +1 more source

Environment analysis of high-altitude electromagnetic pulse coupling field in cavity with aperture shielding

Haizhe Zhong, Jiantao Liang, Hanlin Li, Xuejian Li   +3 more
openalex   +2 more sources

Magnetocardiography combined with machine learning for pulmonary hypertension detection and improved short‐term risk assessment

Interdisciplinary Medicine, EarlyView.
Magnetocardiography (MCG) enables non‐invasive mapping of cardiac magnetic fields. In this study, an MCG‐based machine learning model detects pulmonary hypertension with robust performance. Furthermore, MCG features may improve the accuracy of short‐term risk assessment.
Yuankun Qi, Jiaqi Liang, Kai Ma, Xiaoyu Hu, Yu Zhang, Xiaole Han, Dong Xu, Xu Zhang, Xiaopei Cui, Min Xiang, Hongyu Zhang, Jiancheng Fang   +11 more
wiley   +1 more source