Results 121 to 130 of about 199,526 (313)

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

An Integrated MATLAB Code for Homogenization‐Based Topology Optimization and Generating Functionally Graded Surface Lattices for Additive Manufacturing

Advanced Engineering Materials, EarlyView.
Unlocking structural efficiency, this work integrates homogenization‐based topology optimization with functionally graded triply periodic minimal surface lattices to create highly efficient, customizable lattice structures. Key achievements include the development of a versatile MATLAB framework, optimization of mechanical properties for additive ...
Mirhan Ozdemir, Ugur Simsek, Cemal Efe Gayir, Kadir Gunaydin, Orhan Gulcan   +4 more
wiley   +1 more source

A Study of Selection Operator Using Correlation Between Individuals in Genetic Algorithm

, 2004
Minoru Ito, Masanori Sugisaka
openalex   +2 more sources

3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment

Advanced Engineering Materials, EarlyView.
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian, Gerard Bel Català, Daniel Saakes, Bernard Rolfe, Ian Gibson, Mehrshad Mehrpouya   +5 more
wiley   +1 more source

AN OPTIMAL SELECTION METHOD FOR BASE-ISOLATION DEVICES USING A GENETIC ALGORITHM IN MULTI-MASS SYSTEM : Part 1 Analysis for base isolation model

, 2005
Shinichiro Tamori, Yusuke Matsutani, Zentaro HAYASHI   +2 more
openalex   +2 more sources

Feature Selection for Image Steganalysis using Hybrid Genetic Algorithm [PDF]

, 2009
Zhihua Xia, Xingming Sun, Jiaohua Qin, Changming Niu   +3 more
openalex   +1 more source

X‐Ray Computed Tomography Quantifies Primary Phases and Reveals Crack Morphology in High‐Cycle Fatigue of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder, Ying Han, Tobias Fritsch, Bardia Hejazi, Alexander Ulbricht, Birgit Skrotzki, Giovanni Bruno   +6 more
wiley   +1 more source

Face Recognition by Optimizing Selection of Pixels Using Genetic Algorithm

, 2005
Yasuchika Mori, Ri Kyo
openalex   +2 more sources

Generation of Locomotion for Snake-like Robot using Genetic Algorithm and Analysis for Selections of Partial Modules [PDF]

, 2009
Ihn-Seok Ahn, Jae-Young Jang, Kisung Seo
openalex   +1 more source

A Simulative Approach for the Prediction of Mesoscale Residual Stress Fields in Solution‐Strengthened Ferritic Ductile Iron

Advanced Engineering Materials, EarlyView.
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach, Oliver Schenk, Valérian Iss, Ali Rajaei, Jiali Zhang, Felix Weber, Christoph Broeckmann   +6 more
wiley   +1 more source