Results 181 to 190 of about 20,444,531 (305)

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

open access: yesAdvanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak   +4 more
wiley   +1 more source

Surface‐Capped Protein Nanoparticles for Nonviral Gene Delivery

open access: yesAdvanced Materials, EarlyView.
ABSTRACT Developing simple, safe, and efficient nonviral delivery systems remains a significant challenge in bioengineering. Nanoparticles offer promising gene delivery capabilities with reduced toxicity; however, long‐standing challenges related to effective plasmid encapsulation and delivery exist.
Fjorela Xhyliu   +9 more
wiley   +1 more source

Analog Control of Reconfigurable GHz Resonances from Chiral Spin Texture Ensembles

open access: yesAdvanced Materials, EarlyView.
Tunable microwave components ‐ essential for wireless technology ‐ typically require costly, customized nanofabrication. We show that ambient spin texture ensembles (e.g., magnetic skyrmions) in chiral multilayer films can enable reconfigurable microwave resonators.
T. S. Suraj   +9 more
wiley   +1 more source

Decoding High‐voltage LiCoO2: From Degradation to Stabilization Toward Durable Li‐ion Batteries

open access: yesAdvanced Materials, EarlyView.
This review systematically addresses the degradation mechanisms and stabilization strategies for high‐voltage LiCoO2 cathodes. Key enhancement approaches including foreign‐ion doping, surface modifications, structural design, and electrolyte optimization are critically assessed.
Zezhou Lin   +6 more
wiley   +1 more source

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

Agile human activity recognition for wearable devices based on online incremental learning. [PDF]

open access: yesFront Public Health
Fan L   +6 more
europepmc   +1 more source

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