Results 141 to 150 of about 1,098 (282)

Air Stability of Sulfide Solid Electrolytes: From Theoretical Insights to Practical Solutions

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This paper reviews research progress on the air stability of SSEs, covering their instability mechanisms and modification strategies, while outlining core challenges and future directions for practical applications. Sulfide solid electrolytes are pivotal for enabling high‐performance all‐solid‐state batteries due to their high ionic conductivity and ...
Hongbing Ding, Yue Hu, Xin Li, Yang Su, Xinlu Wang, Hongbo Zhang, Guixia Liu, Wensheng Yu, Xiangting Dong, Jinxian Wang, Xin Wang   +10 more
wiley   +1 more source

Asymmetric Dual‐Electron Bridge Via Gradient Orbital Coupling for Robust Alkaline Oxygen Evolution in Low‐Iridium Water Electrolysis

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The engineered IrOx/FeEu‐NiTex composite, with ultralow Eu (0.72 at%) and Ir (0.14 at%) content, harnesses an asymmetric dual‐electron‐bridge structure (Ni 3d–O 2p–Eu 4f, Ni 3d–O 2p–Ir 5d) for gradient orbital coupling. This unique architecture delivers superior and robust alkaline oxygen evolution activity, enabling efficient low‐iridium water ...
Guiling Wu, Qianlin Chen, Feng Wang, Yan Zhao, Zhaoyang Wang   +4 more
wiley   +1 more source

Tuning Stability and Optoelectronic Properties of CsSnI3 Via Rare‐Earth Doping

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Sn‐based halide perovskites are promising optoelectronic materials but are limited by poor stability. Thus, rare‐earth elements (RE) doping in CsSnI3 addresses this limitation, significantly enhancing thermodynamic, mechanical, and chemical stability, while simultaneously tuning electronic characteristics and modulating optical responses in the ...
Haowei Wang, Feiyu Zhou, Zhuo Li, Yanghao Luo, Tongtong Li, Yilun Liu, Shengying Yue   +6 more
wiley   +1 more source

Cu‐Doped Amorphous High‐Entropy Hydroxides Activating Electrochemical Reconstruction: Triggering LOM and Chloride Repellency for Enhanced Water and Seawater Oxidation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Copper‐doped amorphous high‐entropy hydroxide (CuNiCoFeCrOH) is constructed via one‐step electrodeposition. Cu doping promotes electrochemical reconstruction by accelerating Cr leaching and re‐adsorption, triggering LOM and chloride repellency for efficient water and seawater oxidation.
Chengcheng Dong, Hanming Zhang, Runliang Cui, Ce Zhou, Baocai Xu, Junqi Ge, Jinfeng Sun   +6 more
wiley   +1 more source

Dimensional Engineering of Wet‐Spun MOF‐Based Woven Fabrics for Superior Electromagnetic Wave Absorption

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work fabricated MOF‐based woven absorbing fabrics with dimensional engineering via a wet spinning strategy. The absorbing fabrics achieve a reflection loss of −51.47 dB at 2.9 mm, with an effective absorption bandwidth reaching 3.54 GHz. The absorbing fabrics can be freely bent, stretched, and folded, with individual fibers exhibiting a break ...
Zihao Yan, Liyuan Guan, Qing Liu, Junhao Lin, Jianyong Yu, Bin Ding, Zhaoling Li   +6 more
wiley   +1 more source

The Intelligent Evolution of Radar Signal Deinterleaving: A Systematic Review from Foundational Algorithms to Cognitive AI Frontiers. [PDF]

Sensors (Basel)
Qu Z, Zhang J, Zhou Y, Ni L.
europepmc   +1 more source

Enabling Ultrastable Microbubbles With Graphene Aerogel Enrichment and Machine Learning for Highly Efficient Carbon Storage

Electron, EarlyView.
This study aims to introduce a novel‐designed structure of the colloidal aphron microbubbles reinforced by incorporating hydrophobic aerographene microparticles onto the hydrophobic outer shell. This results in the formation of a robust composite film and armored microbubble that offers exceptional ultrastability under elevated pressures of up to 400 ...
Mohammad Hossein Akhlaghi, Malek Naderi, Ali Pilehvar Meibody, Shurui Yang, Mojtaba Abdi‐Jalebi   +4 more
wiley   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Semi-Supervised Radar Work Mode Recognition Based on Contrastive Learning. [PDF]

Sensors (Basel)
Sun P, Du M, Li Z, Chen X, Shi J.
europepmc   +1 more source