Results 141 to 150 of about 9,266,244 (284)
Near‐surface deuterium enrichment profiles for different microstructural types of TiAl after exposure at 700 °C in a heavy water‐containing environment. The deuterium levels are significantly higher than expected from natural occurrence, indicating that the heavy water dissociated during the exposure treatment and entered the specimens.
Jonathan D. H. Paul +5 more
wiley +1 more source
This study explores the influences of calendering and surface treatment during direct ink writing (DIW) of thermochromic cholesteric liquid crystal (CLC) on PET nonwovens. For the PVA‐coated nonwovens, calendering reduces pore size leading to reduced ink absorption and enhanced spreading. The NeverWet‐coated nonwovens improve thermochromic responses by
Sreenivasan Sreenivasan Narayanan +3 more
wiley +1 more source
Bio‐Inspired Artificial Ionic Mechanoreceptor
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari +4 more
wiley +1 more source
Health-zkIDM: A Healthcare Identity System Based on Fabric Blockchain and Zero-Knowledge Proof. [PDF]
Bai T, Hu Y, He J, Fan H, An Z.
europepmc +1 more source
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Data‐driven deep learning is effective in diagnosing known faults, but not so well when new or unknown faults occur. With unknown faults as a zero‐shot learning problem, this article proposes a method for detecting and isolating unknown faults based on ...
Yi Liu, Jiajun Huang, Mingwei Jia
doaj +1 more source
Decision-making psychology and method under zero-knowledge context. [PDF]
Xie NG +6 more
europepmc +1 more source
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall +4 more
wiley +1 more source
Enhancing Data Protection in Dynamic Consent Management Systems: Formalizing Privacy and Security Definitions with Differential Privacy, Decentralization, and Zero-Knowledge Proofs. [PDF]
Khalid MI, Ahmed M, Kim J.
europepmc +1 more source
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski +3 more
wiley +1 more source

