Results 121 to 130 of about 45,238 (285)

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

Advanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein, Tiago Carneiro Gomes, Eliza Ng, Simon Rondeau‐Gagné, Tricia Breen Carmichael   +4 more
wiley   +1 more source

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

Advanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source

Sistemas fotovoltaicos Net Metering

, 2012
El presente proyecto tiene como objeto definir el funcionamiento conceptual de los sistemas fotovoltaicos Net Metering (o de Balance Neto) los cuales están destinados a la producción energética en modalidad de autoconsumo.En la primera parte, se analiza la evolución del sector así como los parámetros clave para la llegada de la Paridad de Red en España,
openaire   +1 more source

Transparent Inorganic–Organic Bilayer Neural Electrode Array and Integration to Miniscope System for In Vivo Calcium Imaging and Electrophysiology

Advanced Functional Materials, EarlyView.
This study presents the BioCLEAR system, a highly transparent and conductive neural electrode array composed of silver nanowires (AgNWs) and doped PEDOT:PSS, enabling neural recordings with minimal optical artifacts. When integrated with a GRIN lens, this cost‐effective neural implant allows simultaneous electrophysiological recording and GCaMP6‐based ...
Dongjun Han, Kevin Cheng, Swathy Sampath Kumar, Anil Bollimunta, Elizabeth E. Torr, Juhwan Kim, Kyoungmin Kim, Hyungjun Choi, Seongkwon Hwang, Sarah Brodnick, David Cheng, Lindsay Gray, Yei Hwan Jung, William L. Murphy, Aaron J. Suminski, Jonathan J. Nassi, Justin C. Williams, Dong‐Wook Park   +17 more
wiley   +1 more source

Interdependent design and operation of solar photovoltaics and battery energy storage for economically viable decarbonisation of local energy systems

Energy and AI
Local energy systems are undergoing significant transformation by integrating more solar photovoltaics (PVs) and battery energy storage systems (BESS) to achieve net-zero targets in the energy sector.
Dacheng Li, Songshan Guo, Jihong Wang, Yongliang Li, Chenggong Sun, Geng Qiao, Chaomurilige, Yulong Ding   +7 more
doaj   +1 more source

Decoupling Size and Electronic Effects in Doped SrTiO3 Photocatalysts Through Surface Area–Normalized CO2 Hydrogenation Rates

Advanced Functional Materials, EarlyView.
Exploring the photocatalytic reverse water–gas shift (RWGS) reaction on doped SrTiO3 nanoparticle films, reveals that normalizing catalytic rates by the catalyst's specific surface area (SSA) disentangled surface area effects from the catalyst's intrinsic material properties.
Dikshita Bhattacharyya, Baliana Shani, Isaac Holmes‐Gentle, Gerardo T Martinez, Martyn McLachlan, Nicola Seriani, Ludmilla Steier   +6 more
wiley   +1 more source

Performance evaluation of a 20-kW solar-powered EV charging station in Bangladesh: a post commissioning review

Energy Conversion and Management: X
This study develops and evaluates the solar-powered electric rickshaw charging station based on experimental data and provides a detailed performance comparison of pre- and post-commissioning phase.
Md. Mehadi Hasan Shamim, Md. Khalid Mahmud, Khondaker Golam Moazzem   +2 more
doaj   +1 more source

Conflict and uneven development in the multidecade distributed solar energy transition in the United States. [PDF]

Proc Natl Acad Sci U S A, 2023
Hess DJ.
europepmc   +1 more source

Gas turbine engine fuel control [PDF]

, 1973
A variable orifice system is described that is responsive to compressor inlet pressure and temperature, compressor discharge pressure and rotational speed of a gas-turbine engine.
Gold, H. S.
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source