Results 61 to 70 of about 66,918,658 (250)

A clustering particle swarm optimizer for dynamic optimization [PDF]

open access: yes, 2009
This article is posted here with permission of the IEEE - Copyright @ 2009 IEEEIn the real world, many applications are nonstationary optimization problems.
Yang, S   +5 more
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

Global Optimization by Particle Swarm Method:A Fortran Program [PDF]

open access: yes
Programs that work very well in optimizing convex functions very often perform poorly when the problem has multiple local minima or maxima. They are often caught or trapped in the local minima/maxima.
Mishra, SK
core  

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

open access: yesAdvanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar   +9 more
wiley   +1 more source

Comparison of differential evolution, particle swarm optimization, quantum-behaved particle swarm optimization, and quantum evolutionary algorithm for preparation of quantum states

open access: yes, 2023
Four intelligent optimization algorithms are compared by searching for control pulses to achieve the preparation of target quantum states for closed and open quantum systems, which include differential evolution (DE), particle swarm optimization (PSO ...
Liu, Ya-Nan   +3 more
core   +1 more source

Tetracyclic π‐Extended Multi‐Resonant TADF Emitters for Green PSF‐OLEDs With 37.7% EQE and BT.2020‐Compatible Top‐Emitting Devices

open access: yesAdvanced Functional Materials, EarlyView.
Ultra‐narrow green multi‐resonance thermally activated delayed fluorescence emitters have been developed by linear π‐extension strategy using tetracyclic naphtho[2,3‐b]benzofuran unit. The resulting phosphorescence‐sensitized OLEDs achieve a maximum external quantum efficiency of 37.7% in the bottom‐emitting architecture, while the complementary top ...
Eo Jin Jeon   +7 more
wiley   +1 more source

Electrical Tuning of Ferrimagnetic Spin Alignment Angle and Compensation Temperature in Pt/IrMn3/CoGd Multilayers

open access: yesAdvanced Functional Materials, EarlyView.
Spin‐orbit torque controls the Néel vector of antiferromagnetic IrMn3, which selectively exchange‐couples with spins of Co only in the ferrimagnetic CoGd. This selective interfacial pinning induces the non‐collinear spiral spin configuration, leading to a non‐uniform distribution of local compensation temperature along the film thickness, and enabling ...
Won‐Chang Choi   +8 more
wiley   +1 more source

Anisotropic Phonon Dynamics and Directional Transport in Actinide Van der Waals Semiconductor Uranium Triselenide

open access: yesAdvanced Functional Materials, EarlyView.
USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll   +17 more
wiley   +1 more source

A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments [PDF]

open access: yes, 2010
This article is posted here with permission from the IEEE - Copyright @ 2010 IEEEIn the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment ...
Yang, S   +5 more
core   +1 more source

Quantum deep reinforcement learning-augmented pelican optimization for robust UPQC control in wind-grid integrated DFIG systems

open access: yesAIP Advances
This paper proposes an enhanced Pelican Optimization with Quantum Process Deep Reinforcement Learning algorithm (POQPDRL) control framework for the synergized control of a grid-connected DFIG-based wind energy system integrated with a Unified Power ...
P. V. S. S. A. Parimala, Narendra Babu P
doaj   +1 more source

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