Results 181 to 190 of about 1,940 (250)

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

open access: yesAdvanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler   +14 more
wiley   +1 more source

Field‐Programmable Mobile Magneto‐Photonic Metaparticles for Active Light Manipulation and Steering

open access: yesAdvanced Materials, EarlyView.
We report magneto‐photonic metaparticles that integrate magnetic actuation with nanoimprinted metagratings, enabling mobile and programmable beam steering in aqueous environments. This platform achieves real time, directional light control beyond static or line‐of‐sight systems, while remaining compatible with scalable fabrication, providing a ...
Seung Yeol Lee, Yujie Luo, Ognjen Ilic
wiley   +1 more source

A Quantitative Comparison of Two Methods for Higher-Order EEG Microstate Syntax Analysis. [PDF]

open access: yesBrain Topogr
von Wegner F   +4 more
europepmc   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

open access: yesAdvanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang   +10 more
wiley   +1 more source

Electrically Coded Retinomorphic Spectrophotodetector

open access: yesAdvanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source

The future of fundamental science led by generative closed-loop artificial intelligence. [PDF]

open access: yesFront Artif Intell
Zenil H   +19 more
europepmc   +1 more source

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