Results 61 to 70 of about 271,431 (267)

Modulating Electrochemical CO2 Reduction Pathways via Interfacial Electric Field

Advanced Functional Materials, EarlyView.
Engineering interfacial electric fields in Cu/ITO electrodes enables precise control of CO2 reduction pathways. Charge transfer from Cu to ITO generates positively charged Cu species that steer selectivity from ethylene toward methane. This work demonstrates how interfacial electric‐field modulation can direct reaction intermediates and transform ...
Mahdi Salehi, Zhengyuan Gao, Sai Phani Kumar Vangala, Amirhossein Farzi, Hamed Heidarpour, Morgan McKee, Nikolay Kornienko, Ali Seifitokaldani   +7 more
wiley   +1 more source

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

Cryo‐EM of Rationally Designed Photosystem I Nanoassembly on Graphene Validates Orientation‐Driven Enhancement of Photocatalytic Performance

Advanced Functional Materials, EarlyView.
The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo, Margot Jacquet, Tomasz Góral, Marcin Strawski, Takayuki Fujiwara, Shin‐ya Miyagishima, Joanna Kargul   +6 more
wiley   +1 more source

Low-Carbon Operation Simulation Method for Power System Based on Source-Side Carbon Emission Model [PDF]

中国工程科学
With the intensification of global climate change and environmental pollution, building a clean energy supply system and promoting green energy transformation have become a consensus of the international community.
Weisheng Wang, Siyang Liu, Yue Zhang, Bo Miao, Ming Zhou, Peidong Han   +5 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

Short‐term prediction of wind power based on temporal convolutional network and the informer model

IET Generation, Transmission & Distribution
In this study, a new short‐term wind power prediction model based on a temporal convolutional network (TCN) and the Informer model is proposed to solve the problem of low prediction accuracy caused by large wind speed fluctuations in short‐term ...
Shuohe Wang, Linhua Chang, Han Liu, Yujian Chang, Qiang Xue   +4 more
doaj   +1 more source

A Grid-based Numerical Weather Prediction Method for Multi-output Prediction of Regional Photovoltaic Power

Zhongguo dianli
The short-term power prediction of regional photovoltaic (PV) is one of the important bases for the provincial and above power grid control center to make power generation plans and improve the photovoltaic consumption.
Wenhua ZHAN, Jianfeng CHE, Bo WANG, Yu DING   +3 more
doaj   +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

Comparative Analysis of Normal Force Characteristics and Dynamic Influence of Linear Flux-Switching Permanent Magnet Motor for Rail Transit

IEEE Access
The linear flux-switching permanent magnet motor (LFSPM) has significant potential for practical applications in the field of rail transit due to its advantages of high thrust density and high efficiency. However, LFSPM not only generates the thrust that
Yuxiao Zhu, Yongkuan Li, Yujian Chang, Jiaming Li, Jin Chen   +4 more
doaj   +1 more source

Grid integration feasibility and investment planning of offshore wind power under carbon-neutral transition in China. [PDF]

Nat Commun, 2023
Guo X, Chen X, Chen X, Sherman P, Wen J, McElroy M.   +5 more
europepmc   +1 more source