Results 161 to 170 of about 15,281 (262)

Selective Confinement by a COF‐Derived Sub‐Nanoporous Interface for High‐Performance CoF2 Thermal Battery Cathodes

open access: yesAdvanced Science, EarlyView.
Dissolution and shuttling of TMF cathodes hinders high‐voltage thermal batteries. A novel selective confinement strategy using a sub‐nanoporous COF‐derived carbon interface (0.54 nm pores) on CoF2 suppresses cathode material shuttling. Size‐selective confinement blocks large dissolved ions (∼0.8 nm) while allowing Li⁺ passage, enhancing thermal battery
Mengfan Xu   +9 more
wiley   +1 more source

Sodium‐Ion Batteries: Sodium‐Ion Battery Electrolytes: Modeling and Simulations (Adv. Energy Mater. 17/2018) [PDF]

open access: yesAdvanced Energy Materials, 2018
Gustav Åvall   +3 more
openaire   +1 more source

Smart Energy–Harvesting Coating for Moisture–Droplets Based on Ionic Diodes and Transistor–Like Structures

open access: yesAdvanced Science, EarlyView.
A smart power‐generating coating is developed to harvest energy from both ambient humidity and impacting liquid droplets. The integrated system delivers sustained open‐circuit voltages of 0.85 V from moisture and up to 36 V from droplets. Its scalable coating architecture enables a continuous power supply for low‐power electronic devices.
Liang Ma   +5 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

open access: yesAdvanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang   +6 more
wiley   +1 more source

Layered Cathode with Ultralow Strain Empowers Rapid-Charging and Slow-Discharging Capability in Sodium Ion Battery. [PDF]

open access: yesAdv Sci (Weinh)
Yang M   +11 more
europepmc   +1 more source

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