Results 101 to 110 of about 39,320 (211)

Physical layer security in light-fidelity systems. [PDF]

open access: yesPhilos Trans A Math Phys Eng Sci, 2020
Zhang Z, Chaaban A, Lampe L.
europepmc   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

open access: yesAdvanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee   +21 more
wiley   +1 more source

Programmable 3D Photovoltaics via Mechanically Origami‐Coded Interlocked 3D Kirigami and Nano‐Root Anchored AgNWs–In–Ga Multiphasic Alloy Conductor

open access: yesAdvanced Materials, EarlyView.
Mechanically origami‐coded 3D kirigami photovoltaics convert a single extension–release cycle into deterministic self‐folding, reconfiguring planar solar cells into programmable 3D modules. Distinct coding strategies enable either ultrahigh stretchability (500% system strain) or ultrahigh initial effective areal coverage (225%).
Seok Joon Hwang   +15 more
wiley   +1 more source

Physical Layer Security in Multimode Fiber Optical Networks. [PDF]

open access: yesSci Rep, 2020
Rothe S   +5 more
europepmc   +1 more source

A Super‐Adhesive Air Filter With Capillarity‐Mediated Spontaneous Particle Absorption via Dynamic Bond Exchange

open access: yesAdvanced Materials, EarlyView.
We address the inherently weak particle adhesion of conventional air filters by coating a dynamically crosslinked adhesive layer that delivers capillarity‐driven strong adhesion and particle absorption mediated by dynamic bond exchange. The resulting enhancement in particle adhesion enables efficient ultrafast (up to 20 m s−1) and omnidirectional ...
Junyong Park   +11 more
wiley   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

open access: yesAdvanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao   +8 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles

open access: yesAdvanced Materials, EarlyView.
This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen   +19 more
wiley   +1 more source

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

open access: yesAdvanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang   +10 more
wiley   +1 more source

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