Results 131 to 140 of about 1,263,282 (314)

Maximizing thermal and electrical efficiency with thermoelectric generators and hybrid photovoltaic converters: Numerical, economic, and machine learning analysis

Case Studies in Thermal Engineering
In this paper, we introduce an innovative thermoelectric, photovoltaic hybrid system and investigate its performance under various radiation intensities and heat transfer coefficients outside the cavity.
Haitham Osman, Loke Kok Foong, Binh Nguyen Le, Velibor Spalevic, Branislav Dudic, Goran Skataric   +5 more
doaj   +1 more source

Gumsense - a high power low power sensor node

, 2009
The development of increasingly complex algorithms for sensor networks has made it difficult for researchers to implement their design on typical sensor network hardware with limited computing resources.
Basford, P., J., Ellul, Martinez, K., R., Spanton   +3 more
core  

The Impact of “Soft Power” Means on the Hybridization of Modern Wars

Metafizika Journal
Modern wars are experiencing a period of serious transformation. The dominance of “hard power” inherent in classical wars has come to an end. This is due to the increased influence of non-military threats on global security. In this case, the increasing role of information, economic, demographic, cultural, political, financial and other factors, along ...
openaire   +1 more source

Double Helical Plasmonic Antennas

Advanced Functional Materials, EarlyView.
Plasmonic double helical antennas funnel circularly polarized light to the nanoscale, offering strong chiroptical interaction and directional light emission. Extending a single helix design tool, this study combines numerical modeling with experimental validation, revealing large, broadband dissymmetry factors in the visible range.
Aleksei Tsarapkin, Luka Zurak, Krzysztof Maćkosz, Lorenz Löffler, Victor Deinhart, Ivo Utke, Thorsten Feichtner, Katja Höflich   +7 more
wiley   +1 more source

Tuning the Dielectric Properties of Individual Clay Nanosheets by Interlayer Composition: Toward Nano‐Electret Materials

Advanced Functional Materials, EarlyView.
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich, Paul Markus, Matthias Stöter, Bernhard Biersack, Rainer Schobert, Josef Breu, Georg Papastavrou   +6 more
wiley   +1 more source

Advanced Flame Retardant Strategies and Fire Performance Assessment for Safer Photovoltaics in Buildings: A Two‐Part Review

Advanced Functional Materials, EarlyView.
The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon, Olaia Aurrekoetxea‐Arratibel, Emma Gottis, Heng‐Yu Li, Xabier Olano‐Azkune, Matthieu Despeisse, Antonin Faes, Christophe Ballif   +7 more
wiley   +1 more source

Mechanically Tunable Bone Scaffolds: In Vivo Hardening of 3D‐Printed Calcium Phosphate/Polycaprolactone Inks

Advanced Functional Materials, EarlyView.
A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz, Pablo Varela, Laura del‐Mazo‐Barbara, Irene Lodoso‐Torrecilla, Emilio Jiménez‐Piqué, Jordi Franch, Miguel Alaminos, Maria‐Pau Ginebra   +7 more
wiley   +1 more source

Dung beetle optimization algorithm-based hybrid deep learning model for ultra-short-term PV power prediction

iScience
Summary: A hybrid model combining self-attention temporal convolutional networks (SATCN) with bidirectional long short-term memory (BiLSTM) networks was developed to improve the accuracy of ultra-short-term photovoltaic (PV) power prediction.
Rui Quan, Zhizhuo Qiu, Hang Wan, Zhiyu Yang, Xuerong Li   +4 more
doaj   +1 more source

Emergence of Light‐Transforming Layered Hybrid Halide Perovskites

Advanced Functional Materials, EarlyView.
The emerging class of light‐transforming layered halide perovskite materials is reviewed, outlining challenges for their development and perspectives toward application in the future. Abstract Layered hybrid halide perovskites (LHPs) have attracted considerable attention in optoelectronics.
Ghewa AlSabeh, Jovana V. Milić
wiley   +1 more source

Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria

Scientific Reports
This paper provides an in-depth analysis and performance evaluation of four Solar Radiance (SR) prediction models. The prediction is ensured for a period ranging from a few hours to several days of the year.
Boumediene Ladjal, Mohamed Nadour, M. Bechouat, Nadji Hadroug, Moussa Sedraoui, A. Rabehi, M. Guermoui, T. Agajie   +7 more
semanticscholar   +1 more source