Results 201 to 210 of about 8,443 (301)
Early warning of thermal runaway based on state of safety for lithium-ion batteries. [PDF]
Gu X +7 more
europepmc +1 more source
ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li +7 more
wiley +1 more source
Safety analysis of thermal runaway in LTO battery cells under operational fault conditions in railway vehicles. [PDF]
Lee J, Jung M, Yun S, Choi S.
europepmc +1 more source
This study introduces a biomimetic “nanofusion” platform that integrates the biostability of threose nucleic acids (TNA) with homotypic cell‐membrane cloaking to combat drug‐resistant TNBC. By leveraging a non‐canonical membrane‐fusion pathway for direct cytosolic delivery, the platform bypasses endosomal sequestration. To achieve potent AKT2 silencing
Wei Zheng +7 more
wiley +1 more source
Thermal Runaway Temperature Prediction of Lithium-Ion Battery Under Extreme High-Temperature Shock Using Experimental and Virtual Data. [PDF]
Li X +6 more
europepmc +1 more source
Uranium Doped Gallium Nitride Epitaxial Thin Films
Uranium was controllably added to gallium nitride using molecular beam epitaxy. The uranium atoms segregated into vertically oriented regions with higher doping levels. Concentrations up to a few percent were achieved without showing significant degradation in the crystalline quality or optical characteristics. Low electrical resistivity was maintained
J. Pierce Fix +10 more
wiley +1 more source
Quantitative evaluation of thermal runaway in lithium-ion batteries under critical heating conditions to enhance safety. [PDF]
Mahdy OS +7 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Mitigating thermal runaway in EV batteries using hybrid energy storage and phase change materials. [PDF]
Talha M, Palange R, Khan SA, DeBlasio C.
europepmc +1 more source

