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Development of materials database system for cae system of heat treatment based on data mining technology GU Qiang1, ZHONG Rui1, JU Dong-ying2 1. Graduate School of Engineering, Saitama Institute...; accepted 25 April 2006 Abstract: Computer simulation for materials processing needs a huge database containing a great deal of various physical properties of materials. In order to employ......
structure trees (PST) and bill of materials (BOM) are taken as the data source and extracted from PLM database by the data extraction algorithm. Standardized product data are acquired based on the data...J. Cent. South Univ. (2016) 23: 1754-1766 DOI: 10.1007/s11771-016-3229-3 A product module mining method for PLM database LEI Tiao-yu(雷佻钰), PENG Wei-ping(彭卫平), LEI Jin(雷金), ZHONG Yuan-hua(钟院华), ZHANG......
The Most Comprehensive Database of Ionic Transport Characteristics to Date何冰1,米鹏辉1,张力文2,CHI Shuting1,YE Anjiang1,SHI Siqi2,31. School of Computer Engineering and Science,Shanghai University2. State Key Laboratory of Advanced Special Steel,School of Materials Science and Engineering,Shanghai University3. Materials Genome Institute,Shanghai University摘 要: ......Validation concurrency control protocol in parallel real-time database systems
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来源: 《中南大学学报(英文版)2002年第3期》——雷向东 袁晓莉
A novel computational framework for establishment of atomic mobility database directly from composition profiles and its uncertainty quantificationJing Zhong1,Lijun Zhang1,2,Xiaoke Wu1,Li Chen1,Chunming Deng21. State Key Laboratory of Powder Metallurgy, Central South University2. Guangdong Institute of New Materials, National Engineering Laboratory for Modern Materials Surface Engineering......
J. Cent. South Univ. Technol. (2008) 15: 545-551 DOI: 10.1007/s11771-008-0103-y Scheduling transactions in mobile distributed real-time database systems LEI Xiang-dong(雷向东), ZHAO Yue-long(赵跃龙...%, which is obviously higher than that of other protocols. Key words: mobile distributed real-time database systems; muliversion optimistic concurrency control; multiversion dynamic adjustment; pre......
Application of phase diagram calculations to development of new ultra-high temperature structural materials YANG Ying(杨 莹)1, B.P. Bewlay2, CHEN Shuang-lin(陈双林)1, Y.A. Chang3 1. CompuTherm LLC, Madison, Wisconsin 53719, USA; 2. General Electric Global Research, Schenectady, New York 12301, USA; 3. Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison......
attracted much attention from material experts and have made some progress. This review first outlines available materials database and material data analytics tools and then elaborates on the machine...Machine learning in materials genome initiative:A reviewYingli Liu1,2,Chen Niu1,Zhuo Wang3,4,Yong Gan5,Yan Zhu1,Shuhong Sun6,Tao Shen1,21. Faculty of Information Engineering and Automation, Kunming......
,helping us to discover hidden laws in the database. Progress has been made in applying machine learning to the field of materials science[1]. For example,machine learning is employed to establish...Machine learning is accelerating materials research张起,郑玉杰,孙宽MOE Key Laboratory of Low-grade Energy Utilization Technologies and Systems,CQU-NUS Renewable Energy Materials & Devices Joint Laboratory......
J. Cent. South Univ. (2017) 24: 2513-2523 DOI: https://doi.org/10.1007/s11771-017-3664-9 A new product family mining method based on PLM database HU Xiang-yang(胡向阳), PENG Wei-ping(彭卫平), LEI Jin(雷金..., part of Springer Nature 2017 Abstract: Product family (PF) is the most important part of product platform. A new method is proposed to mine PF based on multi-space product data in PLM database......