Results 201 to 210 of about 2,073,624 (303)

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

open access: yesAdvanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim   +8 more
wiley   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

open access: yesAdvanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever   +6 more
wiley   +1 more source

Decoding Synergistic Pathways in Bimetallic MOFs for Advanced Oxidation Processes

open access: yesAdvanced Materials, EarlyView.
This review presents a unified framework linking metal pairing and framework design with electronic structure, redox cycling, oxidant activation, reactive‐species generation, and catalytic performance across photocatalytic and oxidant‐based BMOF‐AOPs. The resulting design principles guide the development of hydrolytically stable and efficient BMOFs for
Karim El‐Naggar   +2 more
wiley   +1 more source

Alloying‐Controlled Tuning of Interfacial Spin‐Orbit Interaction and Magnetic Damping in Crystalline FeCo Thin Films Grown on GaAs(001)

open access: yesAdvanced Materials, EarlyView.
The interfacial spin‐orbit interaction in single‐crystalline Fe1−xCox thin films grown on GaAs(001) can be continuously tuned via alloying. Using spin‐orbit ferromagnetic resonance, the authors find that the interfacial spin‐orbit fields exhibit a nonmonotonic dependence on Co concentration, with a minimum at 20% Co. ABSTRACT The discovery of intrinsic
Hongrui Lao   +9 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

open access: yesAdvanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh   +5 more
wiley   +1 more source

Efficient Sunlight Degradation of Wide‐Spectrum Antibiotics Through Enhanced Charge Separation in SnTCPP NPs‐Nb2C Schottky Heterojunction: Ultrafast Carrier Dynamic Study

open access: yesAdvanced Materials Interfaces, EarlyView.
Due to enhanced charge transfer and carrier mobility on the surface, the SnTCPP NPs‐Nb2C Schottky heterojunctions demonstrate exceptional sunlight‐driven catalytic activity toward tetracycline antibiotics and ofloxacin degradation, achieving a removal efficiency of up to 99.9% within 60 min of irradiation, both in model wastewater and natural water ...
Juanxuan Guo   +5 more
wiley   +1 more source

Advanced MXene‐Based Multifunctional Nanoarchitecture Materials Engineered for Adsorptive Cleanup of Hazardous Radioactive Pollutants: A Comprehensive Critical Review

open access: yesAdvanced Materials Interfaces, EarlyView.
This work critically reviews MXenes as highly effective multifunctional nanomaterials for the adsorption of radio‐contaminants, demonstrating a remarkable adsorption capacity of up to 1376.75 mg/g and cyclic stability of 2–8 cycles, with complexation, electrostatic interactions, and the numerical strength of MXene active sites playing a key operational
Stephen Sunday Emmanuel   +1 more
wiley   +1 more source

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