Results 241 to 250 of about 71,542 (311)

Fabrication of Composite Cathode for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
The design of composite cathodes for all‐solid‐state sodium batteries must address three critical challenges—interfacial side reactions, interfacial delamination, and highly tortuous transport pathways. This work outlines structural and interfacial strategies to optimize ion transport and mechanical stability, enabling durable, and high‐performance ...
Gaoming Sun   +6 more
wiley   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku   +5 more
wiley   +1 more source

Impact of Moisture Exposure on Thermal Stability and Safety of Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Sulfide‐based solid‐state batteries (SSBs) hold significant potential for next‐generation energy storage, yet their practical deployment is hindered by the moisture sensitivity of sulfide solid electrolytes. This study examines how moisture exposure influences thermo‐electrochemical instability at the material and cell‐level, and underscores the ...
Md Toukir Hasan   +7 more
wiley   +1 more source

Investigation of the Lithium Extraction Mechanism from LiNi0.6Mn0.2Co0.2O2 by Using Operando Neutron Diffraction in an All‐Solid‐State Battery

open access: yesAdvanced Energy Materials, EarlyView.
All‐solid‐state batteries (ASSB) are promising for high‐energy applications. Using a newly designed electrochemical cell, this study demonstrates reversible Li+ insertion/extraction in a thick ASSB and enables operando neutron diffraction. The results reveal structural evolution and H1‐H2 phase coexistence in LiNi0.6Mn0.2Co0.2O2 (NMC622), while ...
Sreelakshmi Anil Kumar   +7 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

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar   +2 more
wiley   +1 more source

Combinatorial Nb‐Doped TiO2 Wafers: Phase‐Defect Coengineering for Efficient and Reusable Photocatalysis

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Combinatorial Nb‐doped TiO2 wafers with a lateral dopant gradient enable rapid mapping of how phase composition and defects influence photocatalytic activity. Optimized Nb content generates mixed anatase–rutile phases together with beneficial Ti3+ and oxygen vacancy defects, boosting dye‐degradation efficiency fivefold.
Raja Elrahoumi   +10 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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