Synergistic Nitrogen-Doping and Defect Engineering in Hard Carbon: Unlocking Ultrahigh Rate Capability and Long-Cycling Stability for Sodium-Ion Battery Anodes. [PDF]
Li N, Li H, Huang H.
europepmc +1 more source
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
A Facile Method to Transform Pickled Olive Wastes Into Sulfur-Doped Carbon for Sodium-Ion Battery Electrode. [PDF]
Medina A +3 more
europepmc +1 more source
Sodium‐Ion Batteries: Sodium‐Ion Battery Electrolytes: Modeling and Simulations (Adv. Energy Mater. 17/2018) [PDF]
Gustav Åvall +3 more
openaire +1 more source
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
Distorted 2H/1T MoS<sub>2</sub> nanostructures with improved field emission and sodium-ion battery performance. [PDF]
Chothe U +5 more
europepmc +1 more source
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
An Ultra-Stable, High-Energy and Wide-Temperature-Range Aqueous Alkaline Sodium-Ion Battery with the Microporous C<sub>4</sub>N/rGO Anode. [PDF]
Li M +10 more
europepmc +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
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]
Yang M +11 more
europepmc +1 more source

