Materials informatics approach to understand aluminum alloys-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Materials informatics approach to understand aluminum alloys

Published:2020-01-31 Issue:1 Volume:21 Page:540-551
ISSN:1468-6996
Container-title:Science and Technology of Advanced Materials
language:en
Short-container-title:Science and Technology of Advanced Materials

Author:

Tamura Ryo¹²^ORCID,Watanabe Makoto³,Mamiya Hiroaki⁴^ORCID,Washio Kota⁵,Yano Masao⁵,Danno Katsunori⁵,Kato Akira⁵,Shoji Tetsuya⁵

Affiliation:

1. International Center for Materials Nanoarchitectonics, National Institute for Materials Science, Tsukuba, Japan

2. Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, Japan

3. Research Center for Structural Materials, National Institute for Materials Science, Tsukuba, Japan

4. Research Center for Advanced Measurement and Characterization, National Institute for Materials Science, Tsukuba, Japan

5. Higashifuji Technical Center, Toyota Motor Corporation, Shizuoka, Japan

Publisher

Informa UK Limited

Subject

General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/14686996.2020.1791676

Reference57 articles.

1. Accelerating materials property predictions using machine learning

2. Combinatorial screening for new materials in unconstrained composition space with machine learning

3. Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization

4. Bayesian molecular design with a chemical language model

Cited by 19 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. Inverse estimation of tensile shear strength from fracture surface images using deep learning;International Journal of Adhesion and Adhesives;2024-09

2. Machine learning assisted optimization of soft magnetic properties in ternary Fe–Si–Al alloys;Journal of Materials Research and Technology;2024-03

3. Evaluation of fatigue properties in flame-resistant magnesium alloy welded joints by crystal plasticity analysis and data science approach;Journal of Japan Institute of Light Metals;2024-02-15

4. Toward the design of graft-type proton exchange membranes with high proton conductivity and low water uptake: A machine learning study;Journal of Membrane Science;2024-02

5. Mechanical properties and wear characterization of Al-Mg composites synthesized at different temperatures;AIMS Materials Science;2024

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