Results 171 to 180 of about 303,366 (347)

Low‐Frequency Microwave Absorption Composites

Advanced Science, EarlyView.
The microwave absorption principles and low‐frequency performance factors are briefly introduced. Recent progress is systematically summarized in five different based composites. Then detailed analysis focuses on relationships and mechanisms about micro‐structure and macro‐performance.
Mukun He, Kaiyu Zhang, Hua Qiu, Hua Guo, Xiangcheng Li, Yongqiang Guo, Yali Zhang, Junwei Gu   +7 more
wiley   +1 more source

Moisture Harvesting by the Structure Regulation of Hygroscopic Hydrogel for Energy and Water Sustainability

Advanced Electronic Materials, EarlyView.
Hygroscopic hydrogels are capable of utilizing the moisture from air, which can transfer the gaseous water to liquid by a surface phase transition. Taking advantage of this water, sustainable water production, thermal management, and electricity generation can be realized.
Yujie Du, Yongliang Zheng, Hong Liu, Shujing Zhao, Xiaomian Wang, Lin Yang   +5 more
wiley   +1 more source

Comparison of Sound Absorption Coefficients Obtained Experimentally by Different Methods

, 1939
F. Willig
openalex   +1 more source

Statistical Analysis of Sound Absorption by Audience [PDF]

, 1967
K. V. Geetha, B. S. Ramakrishna
openalex   +1 more source

Theoretical and Experimental Analyses on the Sound Absorption Coefficient of Rice and Buckwheat Husks Based on Micro-CT Scan Data. [PDF]

Materials (Basel), 2023
Sakamoto S, Toda K, Seino S, Hoshiyama K, Satoh T.   +4 more
europepmc   +1 more source

7‐Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing

Advanced Electronic Materials, EarlyView.
Low‐dimensional 7‐methyquinolinium iodobismuthate on a silicon substrate with one input and 15 output gold electrodes as a physical reservoir devices is applied, for MNIST digit classification with 82.26% accuracy and voice classification for digit 2 for six different people with 82 % accuracy.
Gisya Abdi, Ahmet Karacali, Alif Syafiq Kamarol Zaman, Marlena Gryl, Andrzej Sławek, Aleksandra Szkudlarek, Hirofumi Tanaka, Konrad Szaciłowski   +7 more
wiley   +1 more source

Integration of Antifouling and Underwater Sound Absorption Properties into PDMS/MWCNT/SiO₂ Coatings. [PDF]

Biomimetics (Basel), 2022
Cao P, Wang H, Zhu M, Fu Y, Yuan C.
europepmc   +1 more source

On the Measurement of Impedance and Absorption Coefficients of Acoustical Materials for Sound of Oblique Incidence

, 1950
Uno Ingård, R. H. Bolt
openalex   +1 more source

Multistate Dissociation and Sound Absorption in MgSO4 Solutions [PDF]

, 1963
Frederick H. Fisher
openalex   +1 more source

Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods

Advanced Electronic Materials, EarlyView.
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan   +4 more
wiley   +1 more source