Results 101 to 110 of about 248 (246)
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
A Novel Arc Fault Detector for Early Detection of Electrical Fires. [PDF]
Yang K +5 more
europepmc +1 more source
The molecular design strategy that integrates both side chain and backbone engineering in diketopyrrolopyrrole‐based conjugated polymers to identify the optimal balance between doping efficiency and microstructural order is demonstrated. Comprehensive spectroscopic, electrochemical, morphological, and structural characterizations reveal that the ...
Taewoong Han +13 more
wiley +1 more source
Conceptional design for a universal HVDC-HVAC vacuum-interrupter-based circuit breaker. [PDF]
Wadie F, Eliyan T.
europepmc +1 more source
Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi +3 more
wiley +1 more source
Chromaticity and image processing applied to determine the erosion area of vacuum interrupter contacts. [PDF]
Ma L, Ku Z, Li D, Shi J, Dong H.
europepmc +1 more source
The skin dose of pelvic radiographs since 1896. [PDF]
Kemerink GJ +5 more
europepmc +1 more source
Abstract Dielectric barrier discharge (DBD) plasma systems are promising routes for CH4 splitting to COx‐free hydrogen, but their optimization has historically been hindered by the lack of a universal descriptor linking electrical input with chemical output.
Nan Zou +4 more
wiley +1 more source
Research on Low-Voltage Arc Fault Based on CNN-Transformer Parallel Neural Network with Threshold-Moving Optimization. [PDF]
Ning X, Ding T, Zhu H.
europepmc +1 more source
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source

