Results 61 to 70 of about 68,699 (263)
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Optimization of the railway vehicle bogie in term of dynamics [PDF]
Applied and Computational Mechanics, 2009 The paper deals with parameter optimization method of a railway vehicle bogie. Wheelsets are subjected to stochastic excitation caused by irregularities of the track geometry and/or caused by deterministic excitation from polygonalized running surface of
Zeman V., Hlaváč Z.
doaj
Advanced Engineering Materials, EarlyView.A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
Advanced Engineering Materials, EarlyView.This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Study on distributed and dynamic resource management for delay-sensitive sensor network
Tongxin xuebao, 2017 The delay-aware dynamic resource management problem was investigated in sensor network,with a focus on resource allocation among the sensors and power control along the time.By taking account of average delay requirements and power constraints,the ...
Wei LIU, Jun LIU
doaj +2 more sources
A Review of Stochastic Optimization Algorithms Applied in Food Engineering
International Journal of Chemical EngineeringMathematical models that represent food processing operations are characterized by the nonlinearity of their dynamic behavior with possible discrete events, the existence of several variables of interest that are usually distributed in space, and the ...
Laís Koop +4 more
doaj +1 more source
Distributed and Dynamic Resource Management for Wireless Service Delivery to High-Speed Trains
IEEE Access, 2017 With the fast development of high-speed railway (HSR), how to provide high-quality and cost-effective wireless services for HSR users has attracted increasing attention in recent years. A key issue is to design an efficient resource management scheme for
Ningxiao Sun +3 more
doaj +1 more source
A novel hybrid backtracking search optimization algorithm for continuous function optimization [PDF]
Decision Science Letters, 2019 Stochastic optimization algorithm provides a robust and efficient approach for solving complex real world problems. Backtracking Search Optimization Algorithm (BSA) is a new stochastic evolutionary algorithm and the aim of this paper is to introduce a ...
Sukanta Nama, Apu Kumar Saha
doaj +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source