Results 71 to 80 of about 34,283 (310)

Flexoelectrically Induced Polar Topology in Twisted SrTiO3 Membranes

open access: yesAdvanced Materials, EarlyView.
Twisted SrTiO3 bilayers host polar vortices of flexoelectric origin, revealed through combined experiment and theory. By reconstructing polarization from the toroidal moment of strain gradients, the work establishes a 3D chiral state with broken inversion and mirror symmetries.
Isabel Tenreiro   +13 more
wiley   +1 more source

A hybrid CFGTSA based approach for scheduling problem: a case study of an automobile industry [PDF]

open access: yes, 2006
In the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the
Vikas Kumar   +13 more
core   +1 more source

Polymorph‐Specific Electronic Transduction in WO3 during Molecular Sensing

open access: yesAdvanced Materials, EarlyView.
Metal‐oxide polymorphs with similar surface chemistry can nevertheless exhibit distinct sensing properties. In γ‐ and ε‐WO3, analyte adsorption appears comparable; yet, only ε‐WO3 induces a pronounced lattice electronic perturbation that accommodates charge in sub‐conduction band minimum states.
Matteo D'Andria   +6 more
wiley   +1 more source

Solving the capacitated vehicle routing problem with stochastic demands applying the simulated annealing algorithm

open access: yesProgramación Matemática y Software, 2014
A new hybrid algorithm for solving the capacitated vehicle routing problem (CVRP) with stochastic demands is proposed. This new approach combines the simulated annealing (SA) with the savings algorithms and is implemented to obtain results of several ...
Ernesto Liñán García   +2 more
doaj  

A Componentwise Simulated Annealing EM Algorithm for Mixtures [PDF]

open access: yes, 2015
This paper addresses the problem of fitting finite Gaussian Mixture Model (GMM) with unknown number of components to the univariate and multivariate data. The typical method for fitting a GMM is Expectation Maximization (EM) in which many challenges are involved i.e.
Affan Pervez, Dongheui Lee
openaire   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Distribution Network Expansion Using Hybrid SA/TS Algorithm

open access: yesIranian Journal of Electrical and Electronic Engineering, 2009
Optimal expansion of medium-voltage power networks is a common issue in electrical distribution planning. Minimizing total cost of the objective function with technical constraints and reliability limits, make it a combinatorial problem which should be ...
Mahdi Sedghi, Masoud Aliakbar-Golkar
doaj  

An Enhanced Differential Evolution Based Algorithm with Simulated Annealing for Solving Multiobjective Optimization Problems

open access: yesJournal of Applied Mathematics, 2014
An enhanced differential evolution based algorithm, named multi-objective differential evolution with simulated annealing algorithm (MODESA), is presented for solving multiobjective optimization problems (MOPs).
Bili Chen   +3 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

open access: yesAdvanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler   +4 more
wiley   +1 more source

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