Results 111 to 120 of about 87,816 (289)

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

open access: yesAdvanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Current and Future Scenario of Experimental Research Involving Quantum Networks and Telecommunications

open access: green, 2023
Armando N. Pinto   +5 more
openalex   +1 more source

Atomic Layer Deposition‐Modified Bifunctional Electrocatalysts for Rechargeable Zinc‐Air Batteries: Boosting Activity and Cycle Life

open access: yesAdvanced Energy Materials, EarlyView.
The transition metal oxide is precisely deposited on the catalyst surface via atomic layer deposition (ALD), forming a protective layer with catalytic activity. Electrochemical experiments, theoretical calculations, and in situ X‐ray absorption spectroscopy (XAS) battery testing collectively demonstrate that the modified transition metal oxide ...
Fang Dong   +4 more
wiley   +1 more source

Leveraging Wind Energy for Electricity and Hydrogen Production: A Sustainable Solution to Power Shortages and Eco‐Friendly Alternative Fuel

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
The article attracts researchers, policymakers, and industry leaders in renewable energy, hydrogen, and sustainable development, as it addresses the critical need for clean, efficient energy solutions. By evaluating the technical, environmental, and economic feasibility of integrating wind energy with hydrogen production. The findings offer significant
Mohamed Elnaggar   +4 more
wiley   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy