Results 221 to 230 of about 7,269,747 (286)

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

open access: yesAdvanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo   +7 more
wiley   +1 more source

Accelerated Materials Discovery Through In Situ X‐ray Diffraction: Solvothermal Formation of PdxMy (M═Si, Ge, Sn, Pb) Intermetallic Nanoparticles

open access: yesAdvanced Materials, EarlyView.
In situ PXRD data on solvothermal reactions accelerate materials discovery while simultaneously providing fundamental insights into complex crystal formation processes. Using PdxMy (M = Si, Ge, Sn, Pb) as an example, a general formation mechanism is identified, and specific synthesis strategies for ex situ preparation of SnPd2, Sn13Pd20, and SnPd ...
Anders Bæk Borup   +1 more
wiley   +1 more source

Reactivity‐Guided Janus Graphene With Asymmetric Interfacial Electrostatics for Tunable Charge Transport

open access: yesAdvanced Materials, EarlyView.
Stepwise dual‐side functionalization creates covalent Janus graphene with chemically and electrostatically asymmetric interfaces. The resulting nonadditive surface‐potential response and pronounced charge‐transport modulation demonstrate a versatile route for tailoring the electronic properties of graphene.
Shishi Liu   +14 more
wiley   +1 more source

Physical Activity, Screen Time, and Neurobehavioural Function at Age 7 Years: The Italian PHIME-NAC-II Cohort. [PDF]

open access: yesChildren (Basel)
Barbiero F   +10 more
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

open access: yesAdvanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim   +4 more
wiley   +1 more source

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