Results 121 to 130 of about 5,859,765 (291)
Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses
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
Electrically Coded Retinomorphic Spectrophotodetector
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
Halftone images compression of bitplane using run length encoding with confirmation of repeateation
Some algorithms of probabilistic coding of bits series lengths based on the confirmation of bit repetition and differing with an explicit or implicit indication of the length of the repetition symbol are proposed. The efficiency of these algorithms using
H. K. Al-Bahadily +2 more
doaj
Recent demonstrations on specialized benchmarks have reignited excitement for quantum computers, yet their advantage for real-world problems remains an open question.
Shuvro Chowdhury +14 more
doaj +1 more source
A photoactive tweezers system based on photoactive colloids is developed and systematically investigated in this study. Through experimental and theoretical methods, we demonstrate that the photoredox reaction catalyzed by a dye‐sensitized TiO2 particle generates a strong positive phototaxis, enabling self‐entrapment in the beam center.
Jingyuan Chen +9 more
wiley +1 more source
Probabilistic inference in the era of tensor networks and differential programming
Probabilistic inference is a fundamental task in modern machine learning. Recent advances in tensor network (TN) contraction algorithms have enabled the development of better exact inference methods.
Martin Roa-Villescas +4 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi +13 more
wiley +1 more source
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena +7 more
wiley +1 more source

