Results 241 to 250 of about 2,498 (303)

Giant Conductivity Modulation and Chemical Neuromodulation via Proton‐Electron Coupling in a Hydrogen‐Bonded Coordination Polymer

open access: yesAdvanced Science, EarlyView.
A “de‐doping” strategy positions mixed protonic–electronic conductors (MPECs) as adaptive neuromorphic platforms with dynamically tunable transport. Co‐BAND achieves giant conductivity modulation (>106) and chemically tunable synaptic plasticity. Analogous to biological neuromodulation, solvent vapors dynamically reprogram the device's learning rules ...
Kwangmin Park   +10 more
wiley   +1 more source

DNA-Inspired Lightweight Cryptographic Algorithm for Secure and Efficient Image Encryption. [PDF]

open access: yesSensors (Basel)
Abdelaal MA   +5 more
europepmc   +1 more source

Electrostatic Self‐Assembly Induced Nest‐Like MXene Networks on Fabric for Ultra‐Broadband Flexible Absorption

open access: yesAdvanced Science, EarlyView.
In this study, an electrostatically self‐assembled WPU‐MXene@FC flexible fabric constructs a “nest‐like” structure on fibers, building construct MXene multiple loss paths, achieving ultra‐wideband absorption of 25.3–1200 GHz in a thickness of 1.8 mm, while also exhibiting superhydrophobicity, acid and alkali resistance, and bending resistance ...
Min Luo   +7 more
wiley   +1 more source

Toward owner governance in genomic data privacy with Governome. [PDF]

open access: yesCell Rep Methods
Zhang J   +8 more
europepmc   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

open access: yesAdvanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing   +10 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

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