Results 151 to 160 of about 58,270 (278)

Stretchable wideband dipole antennas and rectennas for RF energy harvesting. [PDF]

Mater Today Phys, 2021
Zhu J, Hu Z, Song C, Yi N, Yu Z, Liu Z, Liu S, Wang M, Dexheimer MG, Yang J, Cheng H.   +10 more
europepmc   +1 more source

Caving‐enhanced geothermal system overwhelms fracturing‐ and pipe‐enhanced geothermal system in heat extraction

Deep Underground Science and Engineering, EarlyView.
Our study reveals that caving‐enhanced geothermal systems (C‐EGS) with adequately fractured reservoirs achieve optimal heat extraction by minimizing preferential flow paths, while conventional fracturing (F‐EGS) and pipe‐based (P‐EGS) systems suffer accelerated thermal drawdown.
Fangchao Kang, Tianjiao Li, Yingchun Li, Jinlong Men, Chun'an Tang   +4 more
wiley   +1 more source

A Dual-Band Wide-Input-Range Adaptive CMOS RF-DC Converter for Ambient RF Energy Harvesting. [PDF]

Sensors (Basel), 2021
Heo BR, Kwon I.
europepmc   +1 more source

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri, Araz Rajabi‐Abhari, Owen Gibbs, Pengcheng Xi, Asif Abdullah Khan, Fangzheng Huang, Md Soyaeb Hassan, Ning Yan, Dayan Ban   +8 more
wiley   +1 more source

Triple-Band Single-Layer Rectenna for Outdoor RF Energy Harvesting Applications. [PDF]

Sensors (Basel), 2021
Boursianis AD, Papadopoulou MS, Koulouridis S, Rocca P, Georgiadis A, Tentzeris MM, Goudos SK.   +6 more
europepmc   +1 more source

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang, Rui Li, Chang He, Xinfeng Zhu, Junning Wang, Rongfu Peng, Ho Ngoc Nam, Yanli Mao, Wei Liu, Mingshan Zhu, Yusuke Yamauchi   +10 more
wiley   +1 more source

By‐product of heparin extraction as a sustainable alternative to enhance the use of nitrogen in agriculture

Environmental Progress &Sustainable Energy, EarlyView.
Abstract This study evaluates the potential of a new organic fertilizer derived from porcine intestinal mucosa (designated BHE), a by‐product of the heparin extraction process, as a sustainable nitrogen (N) source for agriculture. The work was conducted in two stages: (i) chemical and spectroscopic characterization of BHE compared with poultry litter ...
Aline Zanquetti, Felipe Augusto Bueno Rossi, Jonatas Thiago Piva, Larissa Macedo dos Santos‐Tonial   +3 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

Flavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin, Romain Krafft, Sylvain Antoniotti, Sébastien Fiorucci   +3 more
wiley   +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