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]

open access: yesPolymers (Basel)
Zhou H   +11 more
europepmc   +1 more source

Thermal Runaway of Lithium Batteries [PDF]

open access: yes, 2013
Bessler, Wolfgang   +5 more
openaire   +1 more source

Nanoparticle‐Mediated Bubble Suppression During Droplet Solidification for Mechanical Reinforcement

open access: yesAdvanced Science, EarlyView.
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

One‐Pot Direct Recycling of Spent LiCoO2 via Synergistic Binder Defluorination and Phase Reconstruction

open access: yesAdvanced Science, EarlyView.
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

Large‐Area Noise‐Resilient Multiplexing Triboelectric Biomechanical Sensing on Clothing for High‐Precision Full‐Body Motion Capture in Wearables

open access: yesAdvanced Science, EarlyView.
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

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
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

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