A property-oriented design strategy of high-strength ductile RAFM steels based on machine learning
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
Reference65 articles.
1. Effects of alloying elements and thermomechanical treatment on 9Cr reduced activation ferritic–martensitic (RAFM) steels;Tan;J. Nucl. Mater.,2013
2. Status of reduced activation ferritic/martensitic steel development;Baluc;J. Nucl. Mater.,2007
3. Recent progress toward development of reduced activation ferritic/martensitic steels for fusion structural applications;Kurtz;J. Nucl. Mater.,2009
4. Precipitation of carbides in F82H steels and its impact on mechanical strength;Kano;Nucl. Mater. Energy.,2016
5. Effects of heavy-ion irradiation on solute segregation to dislocations in oxide-dispersion-strengthened Eurofer 97 steel;Williams;J. Nucl. Mater.,2011
Cited by 17 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. Parameter Optimization of a Surface Mechanical Rolling Treatment Process to Improve the Surface Integrity and Fatigue Property of FV520B Steel by Machine Learning;Materials;2024-09-13
2. Design of chromium-vanadium steel based on design loop combining property-oriented design criteria and machine learning prediction model;Journal of Materials Research and Technology;2024-09
3. Deciphering the composition-microstructure correlation in low-density FeMnAlC steels with machine learning;Computational Materials Science;2024-09
4. Prediction and analysis of mechanical properties of hot-rolled strip steel based on an interpretable machine learning;Materials Today Communications;2024-08
5. Data enhanced lightweight network-based prediction of cold-rolled steel mechanical properties;Materials Today Communications;2024-08
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