Results 201 to 210 of about 8,443 (301)

Early warning of thermal runaway based on state of safety for lithium-ion batteries. [PDF]

open access: yesCommun Eng
Gu X   +7 more
europepmc   +1 more source

Bridged h‐BN Nanosheets Coatings: Simultaneous Shielding Atomic‐Oxygen Irradiation and Achieving Superior Friction Performance

open access: yesAdvanced Science, EarlyView.
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

Membrane Fusion‐Mediated Cytosolic Delivery of Threose Nucleic Acids via Homotypic Nanoparticles Overcomes Drug Resistance in Triple‐Negative Breast Cancer

open access: yesAdvanced Science, EarlyView.
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 of Lithium Batteries [PDF]

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

Uranium Doped Gallium Nitride Epitaxial Thin Films

open access: yesAdvanced Electronic Materials, EarlyView.
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

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

Home - About - Disclaimer - Privacy