Results 281 to 290 of about 4,159,704 (407)

Roulette‐Inspired Physical Unclonable Functions: Stochastic yet Deterministic Multi‐Bit Patterning through the Solutal Marangoni Effect

open access: yesAdvanced Functional Materials, EarlyView.
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho   +8 more
wiley   +1 more source

Multi‐Pathway Upconversion Emission in Symmetry‐Broken Nanocavities: Broadband Multiresonant Enhancement and Anti‐Correlated Interfacial Sensitivity

open access: yesAdvanced Functional Materials, EarlyView.
Symmetry‐broken plasmonic nanoantenna arrays achieve broadband multiresonant enhancement of second harmonic generation (SHG), third harmonic generation (THG), and upconversion photoluminescence (UCPL), under femtosecond laser excitation across the near‐infrared range (1000–1600 nm).
Elieser Mejia   +9 more
wiley   +1 more source

Nonlinear Magneto-optical Rotation via Alignment-to-Orientation Conversion

open access: green, 2000
Dmitry Budker   +3 more
openalex   +2 more sources

Tailoring Hole‐Blocking Layers Enables a Versatile Approach for Fast Photomultiplication‐Type Organic Photodetectors

open access: yesAdvanced Functional Materials, EarlyView.
This study investigates the role of hole‐blocking layers (HBLs), particularly the combination of two HBLs in photomultiplication‐type organic photodetectors (PM‐OPDs), which results in high gain and record‐fast response. The proposed HBL strategy also allows for the use of photoactive layer with balanced donor–acceptor stoichiometry, which can be ...
Awais Sarwar   +7 more
wiley   +1 more source

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly   +4 more
wiley   +1 more source

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