Results 51 to 60 of about 55,613 (263)
Advanced Functional Materials, EarlyView.In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film
Advanced Functional Materials, EarlyView.ABSTRACT The coexisting rhombohedral‐like (R′, MA) and tetragonal‐like (T′, MC) monoclinic phases in compressively strained bismuth ferrite thin films exhibit exceptional piezoelectric and magnetic properties. While previous studies have largely focused on probing the morphotropic phase boundaries (MPBs) comprising ordered R′/T′ twins, their self ...
Ting‐Ran Liu +7 more
wiley +1 more source
Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
Jixie chuandong, 2003 Genetic Algorithm （GA） is an intelligent search algorithm which is parallel,random,self-adapting,self-organixing. The algorithm simulates nature selection and genetic mechamism in the process of biologic evolution.
黄乾贵, 张艳
doaj
Face recognition system with PCA-GA algorithm for smart home door security using Rasberry Pi
Jurnal Teknologi dan Sistem Komputer, 2020 Genetic algorithm (GA) can improve the classification of the face recognition process in the principal component analysis (PCA). However, the accuracy of this algorithm for the smart home security system has not been further analyzed. This paper presents
Subiyanto Subiyanto +4 more
doaj +1 more source
GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms
, 2004 Evolutionary techniques are one of the most successful paradigms in the field of optimization. In this paper we present a new approach, named GAEDA, which is a new hybrid algorithm based on genetic and estimation of distribution algorithms. The original objective is to get benefits from both approaches.
Peña Sánchez, José María +5 more
openaire +2 more sources
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Advanced Materials, EarlyView.Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source
Hybrid genetic simulated annealing algorithm based on niching for QoS multicast routing
Tongxin xuebao, 2008 Aiming at the problem of multicast routing with multiple QoS constraint,a new genetic algorithm（GA） was brought up based on the simulated annealing（SA） mechanism. The algorithm combined the capability of local optimiza-tion of SA with global optimization
FAN Yi-ming1 +2 more
doaj +2 more sources
PV Optimization With Genetic Algorithm-Based MPPT Method
Informatics, Electrical, and Electronics EngineeringThis research designs and implements a Maximum Power Point Tracking (MPPT) system based on genetic algorithm (GA) on buck-boost converter using Arduino microcontroller to increase energy conversion efficiency on PV system.
Ayas Sutomo Hadi Hadi +2 more
doaj +1 more source