Application of deep neural network learning in composites design-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Application of deep neural network learning in composites design

Published:2022-04-08 Issue:1 Volume:2 Page:117-170
ISSN:2688-9277
Container-title:European Journal of Materials
language:en
Short-container-title:European Journal of Materials

Author:

Wang Yinli¹²^ORCID,Soutis Constantinos³^ORCID,Ando Daisuke¹^ORCID,Sutou Yuji¹⁴^ORCID,Narita Fumio⁵^ORCID

Affiliation:

1. Department of Materials Science, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan

2. Division for Interdisciplinary Advanced Research and Education, Tohoku University, Sendai 980-8578, Japan

3. Aerospace Research Institute, The University of Manchester, Oxford Road, Manchester M13 9PL, UK

4. WPI Advanced Institute for Materials Research, Tohoku University, Sendai, Japan

5. Department of Frontier Sciences for Advanced Environment, Graduate School of Environmental Studies, Tohoku University, Sendai 980-8579, Japan

Publisher

Informa UK Limited

Subject

General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/26889277.2022.2053302

Reference152 articles.

1. A Hierarchical Multiscale Method for Two-Phase Flow Based upon Mixed Finite Elements and Nonuniform Coarse Grids

2. Mechanical Response of 3D Printed Bending-Dominated Ligament-Based Triply Periodic Cellular Polymeric Solids

3. Topology optimization of 2D structures with nonlinearities using deep learning

4. Universal inverse design of surfaces with thin nematic elastomer sheets

5. Microstructural characterization and thermomechanical behavior of additively manufactured AlSi10Mg sheet cellular materials

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vibration analysis of Ti-SiC composite airfoil blade based on machine learning;Engineering Analysis with Boundary Elements;2024-10

2. Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture;Journal of Composites Science;2024-08-17

3. Using deep learning method to predict dimensionless values of stress intensity factors and T‐stress of edge notch disk bend (ENDB) specimen;Fatigue & Fracture of Engineering Materials & Structures;2024-05-13

4. Fabrication and Dry-Sliding Wear Characterization of Open-Cell AlSn6Cu–Al2O3 Composites with LSTM-Based Coefficient of Friction Prediction;Metals;2024-04-05

5. Virtual development of competitive products made of customized ceramic composites;Materials & Design;2024-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3