Results 121 to 130 of about 4,914,786 (311)
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni +17 more
wiley +1 more source
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source
In‐situ doping during growth of SnSe and subsequent attachment of SnS produces high‐quality lateral pn‐heterojunctions between van der Waals semiconductors. Electron beam induced current measurements demonstrate electrically active pn‐junctions, paving the way for devices that harness charge separation at lateral interfaces in layered heterostructures.
Peter Sutter +4 more
wiley +1 more source
DNA sequence mining is essential in the study of the structure and function of the DNA sequence. A few exploration works have been published in the literature concerning sequence mining in information mining task.
Lakshmanna Kuruva, Khare Neelu
doaj +1 more source
Chiral SURMOFs for Vibrational Circular Dichroism: Multiscale Modeling and Experimental Insights
The use of solid‐state vibrational circular dichroism (VCD) for MOFs is still somewhat unexplored, and in this work, it is shown that chiral surface‐anchored MOFs (SURMOFs) grown on CaF2 provide an excellent platform for VCD. Experimental results are validated through multiscale modeling, showing strong agreement across multiple spectroscopic ...
Ana C. Fingolo +9 more
wiley +1 more source
A 3D nanowire‐network SERS substrate with robust adhesion is developed, featuring pronounced z‐direction optical activity, ultralow detection limit (1.5 × 10−13 M), and excellent signal uniformity (RSD < 10%). Enabled by enhanced light scattering, increased optical density of states, and structural reinforcement, the substrate demonstrates stable, high‐
Jinglai Duan +6 more
wiley +1 more source
Phishing attacks discovery based on HTML layout similarity
Based on the similarity of the layout structure between the phishing sites and real sites,an approach to discover phishing sites was presented.First,the tag with link attribute as a feature was extracted,and then based on the feature,the page tag ...
Xue-qiang ZOU +5 more
doaj +2 more sources
Magnetic Force Microscopy Signatures of Higher‐Order Skyrmions and Antiskyrmions
Magnetic force microscopy operated under vacuum conditions enables the qualitative identification of higher‐order skyrmions and antiskyrmions in Co/Ni multilayers at room temperature. Distinct stray‐field contrast signatures arise from vertical Bloch lines and complex domain‐wall configurations.
Sabri Koraltan +8 more
wiley +1 more source

