Results 171 to 180 of about 4,210 (262)
Critical Perspectives on the Design of Polymeric Materials for Mitigating Thermal Runaway in Lithium-Ion Batteries. [PDF]
Zhou H +11 more
europepmc +1 more source
Nanoparticle‐Mediated Bubble Suppression During Droplet Solidification for Mechanical Reinforcement
Nanoparticles mediate droplet solidification by raising nucleation temperature, refining dendrites, and slowing freezing‐front advance, thereby suppressing trapped air bubbles in droplet‐based 3D printing. This strategy reduces bubble volume fraction by ∼35% and increases compressive strength by up to 39%, offering a low‐cost route to stronger printed ...
Runmiao Gao +10 more
wiley +1 more source
A calorimeter for analyzing ejected and non-ejected heat during Li-ion battery thermal runaway. [PDF]
Willstrand O +3 more
europepmc +1 more source
A Li+‐DES system enables targeted defluorination and synergistic repair of spent LiCoO2 cathodes in a single medium. The regenerated material recovers a well‐ordered layered structure with a high capacity of 157.4 mAh g−1 and 83.1% capacity retention after 300 cycles, demonstrating a sustainable and efficient closed‐loop recycling strategy for lithium ...
Yingjie Hu +9 more
wiley +1 more source
Identification of electric vehicle susceptible to thermal runaway based on risk accumulation. [PDF]
Li X +5 more
europepmc +1 more source
A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao +14 more
wiley +1 more source
Detection toward early-stage thermal runaway gases of Li-ion battery by semiconductor sensor. [PDF]
Teng Z, Lv C.
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
Early warning method for charging thermal runaway of electric vehicle lithium-ion battery based on charging network. [PDF]
Cheng YM, Gao DX, Zhao FM, Yang Q.
europepmc +1 more source

