Results 111 to 120 of about 115,342 (279)

Infrared Nanocrystals for Space Application: Hardness to Irradiations

open access: yesAdvanced Functional Materials, EarlyView.
This article investigates infrared HgTe nanocrystals under X‐ray and ion irradiation, revealing remarkable radiation hardness. It uncovers distinct degradation mechanisms and shows that the nanomaterial outperforms integrated electronics. The results position colloidal nanocrystals as promising candidates for resilient space and harsh‐environment ...
Alexandre Neyret   +22 more
wiley   +1 more source

Atomic‐Scale Light Coupling Control in Ultrathin Photonic Membranes

open access: yesAdvanced Functional Materials, EarlyView.
Ultrathin photonic nanomembranes provide atomic‐scale control over the coupling between incident light and high‐Q photonic modes, enabling angstrom‐level resonance tuning and strong field confinement. When integrated with TMD monolayers, they further yield enhanced light–matter interactions, offering a versatile platform for advancing quantum photonics,
Chih‐Zong Deng   +8 more
wiley   +1 more source

Meta‐Rod Mechanical Metamaterials With Programmable Reconfiguration

open access: yesAdvanced Functional Materials, EarlyView.
Existing mechanical metamaterials achieve programmable large deformations in planar square or cubic configurations, restricted by required complex boundary conditions. This research proposes a 1D metamaterial, Meta‐rod, with linear, bending, twisting, area, and volume deformation modes.
Atharva Pande, Lyes Kadem, Hang Xu
wiley   +1 more source

Magnetic Force Microscopy Signatures of Higher‐Order Skyrmions and Antiskyrmions

open access: yesAdvanced Functional Materials, EarlyView.
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

Dimensional reduction in nonlinear filtering: A homogenization approach

open access: yesThe Annals of Applied Probability, 2013
Published in at http://dx.doi.org/10.1214/12-AAP901 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Imkeller, Peter   +3 more
openaire   +3 more sources

Domain Wall Rebounds Driven by Competing Entropic and Spin‐Transfer Torques in Cylindrical Nanowires

open access: yesAdvanced Functional Materials, EarlyView.
Domain‐wall motion in cylindrical magnetic nanowires driven by nanosecond current pulses. Low current densities efficiently displace domain walls, whereas higher currents cause rebound at the wire ends. The effect results from the interplay between spin‐transfer torque and thermally induced processes, highlighting the role of thermal gradients in ...
Elias Saugar   +11 more
wiley   +1 more source

High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties

open access: yesAdvanced Functional Materials, EarlyView.
High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker   +14 more
wiley   +1 more source

Exploring the Potential of Variational Autoencoders for Modeling Nonlinear Relationships in Psychological Data

open access: yesBehavioral Sciences
Latent variables analysis is an important part of psychometric research. In this context, factor analysis and other related techniques have been widely applied for the investigation of the internal structure of psychometric tests.
Nicola Milano   +3 more
doaj   +1 more source

Low-Rank Kernel-Based Semisupervised Discriminant Analysis

open access: yesApplied Computational Intelligence and Soft Computing, 2016
Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear.
Baokai Zu   +3 more
doaj   +1 more source

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