Results 101 to 110 of about 8,682,249 (236)
Small wind electric systems an Ohio consumer's guide.
Title from cover of PDF document (viewed Mar. 20, 2006).; "Produced for the U.S. Department of Energy by the National Renewable Energy Laboratory ..."--P. [26]; "March 2005"--P [26].; "DOE/GO-102005-2077"--P. [26].; Harvested from the web on 3/20/06Small
National Renewable Energy Laboratory (U.S.)
core
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Photovoltaic (PV)-storage integrated 5G base station (BS) can participate in demand response on a large scale, conduct electricity transaction and provide auxiliary services, thus reducing the high electricity consumption of 5G BSs and increasing the ...
Congfei Li +5 more
doaj +1 more source
A review of energy storage technologie sfor marine current energy systems [PDF]
Increasing concerns about the depletion of fossil resources and the issue of environment lead to a global need for producing more clean energy from renewable sources. Ocean is appreciated as a vast source of renewable energies.
CHARPENTIER, Jean-Frederic +5 more
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Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Understanding crystallization pathways leading to manganese oxide polymorph formation
Minor variations in synthesis conditions can redirect crystallization pathways through different nonequilibrium intermediates. Here, the authors present a theoretical framework to predict which polymorphs appear during MnO2 precipitation, which is ...
Bor-Rong Chen +11 more
doaj +1 more source
The Effects of Renewable Portfolio Standards on Renewable Energy Sources [PDF]
Renewable Portfolio Standard (RPS) programs have experienced increased popularity at the state level with twenty-three states adopting policies. Policy makers implement these programs in the hopes of stimulating renewable energy generation and lessening ...
Ohler, Adrienne
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Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
This 12-page brochure provides an overview of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy's Tribal Energy Program and describes the financial, technical, and educational assistance it provides to help tribes develop ...
core +1 more source

