A predictive failure framework for brittle porous materials via machine learning and geometric matching methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
http://link.springer.com/content/pdf/10.1007/s10853-019-04339-1.pdf
Reference38 articles.
1. Roohani-Esfahani SI, Newman P, Zreiqat H (2016) Design and fabrication of 3d printed scaffolds with a mechanical strength comparable to cortical bone to repair large bone defects. Sci Rep. https://doi.org/10.1038/srep19468
2. Meyers MA, Chen PY (2014) Biological materials science: Biological materials, bioinspired materials, and biomaterials. Cambridge University Press, Cambridge
3. Ebner M, Chung DW, García RE, Wood V (2014) Tortuosity anisotropy in lithium-ion battery electrodes. Adv Energy Mater. https://doi.org/10.1002/aenm.201301278
4. Xu H, Chen B, Tan P et al (2018) Modeling of all porous solid oxide fuel cells. Appl Energy. https://doi.org/10.1016/j.apenergy.2018.03.037
5. Brodnik NR, Faber KT (2019) Out-of-plane mechanical characterization of acicular mullite and aluminum titanate diesel particulate filters. Int J Appl Ceram Technol. https://doi.org/10.1111/ijac.13161
Cited by 10 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. Advances in materials informatics: a review;Journal of Materials Science;2024-02
2. Effects of leaflet curvature and thickness on the crimping stresses in transcatheter heart valve;Journal of Biomechanics;2023-07
3. Machine Learning in the development of Si-based anodes using Small-Angle X-ray Scattering for structural property analysis;Computational Materials Science;2023-02
4. Thermomechanical Analysis of Ceramic Composites Using Object Oriented Finite Element Analysis;Simulation Modeling;2022-01-19
5. Analyzing the mechanical performance of fly ash-based geopolymer concrete with different machine learning techniques;Construction and Building Materials;2022-01
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