登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Liang, Yongcheng, Zhong, Zheng, Zhang, Wenqing (2013) A thermodynamic criterion for designing superhard transition-metal borides with ultimate boron content. Computational Materials Science, 68. 222-228 doi:10.1016/j.commatsci.2012.10.021

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA thermodynamic criterion for designing superhard transition-metal borides with ultimate boron content
JournalComputational Materials Science
AuthorsLiang, YongchengAuthor
Zhong, ZhengAuthor
Zhang, WenqingAuthor
Year2013 (February)Volume68
PublisherElsevier BV
DOIdoi:10.1016/j.commatsci.2012.10.021Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9507453Long-form Identifiermindat:1:5:9507453:7
GUID0
Full ReferenceLiang, Yongcheng, Zhong, Zheng, Zhang, Wenqing (2013) A thermodynamic criterion for designing superhard transition-metal borides with ultimate boron content. Computational Materials Science, 68. 222-228 doi:10.1016/j.commatsci.2012.10.021
Plain TextLiang, Yongcheng, Zhong, Zheng, Zhang, Wenqing (2013) A thermodynamic criterion for designing superhard transition-metal borides with ultimate boron content. Computational Materials Science, 68. 222-228 doi:10.1016/j.commatsci.2012.10.021
In(n.d.) Computational Materials Science Vol. 68. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

LIANG, YONGCHENG, LI, ANHU, ZHAO, JIANZHI, ZHANG, WENQING (2009) DESIGNING SUPERHARD MATERIALS BY INCORPORATING BORON INTO HEAVY TRANSITION METALS. Modern Physics Letters B, 23. 1281-1290 doi:10.1142/s0217984909019405
Liang, Yongcheng, Yang, Jiong, Yuan, Xun, Qiu, Wujie, Zhong, Zheng, Yang, Jihui, Zhang, Wenqing (2015) Polytypism in superhard transition-metal triborides. Scientific Reports, 4. doi:10.1038/srep05063
Liang, Yongcheng, Wu, Zhaobing, Yuan, Xun, Zhang, Wenqing, Zhang, Peihong (2016) Discovery of elusive structures of multifunctional transition-metal borides. Nanoscale, 8. 1055-1065 doi:10.1039/c5nr06404j
Liang, Yongcheng, Yuan, Xun, Zhang, Wenqing (2011) Thermodynamic identification of tungsten borides. Physical Review B, 83 (22) doi:10.1103/physrevb.83.220102
Liang, Yongcheng, Gou, Yanpeng, Yuan, Xun, Zhong, Zheng, Zhang, Wenqing (2013) Unexpectedly hard and highly stable WB3 with a noncompact structure. Chemical Physics Letters, 580. 48-52 doi:10.1016/j.cplett.2013.06.059
Miao, Naihua, Sa, Baisheng, Zhou, Jian, Sun, Zhimei (2011) Theoretical investigation on the transition-metal borides with Ta3B4-type structure: A class of hard and refractory materials. Computational Materials Science, 50 (4). 1559-1566 doi:10.1016/j.commatsci.2010.12.015
Zheng, Xiaolong, Zheng, Peng, Zheng, Liang, Zhang, Yang, Zhang, Rui-Zhi (2020) Multi-channel convolutional neural networks for materials properties prediction. Computational Materials Science, 173. 109436pp. doi:10.1016/j.commatsci.2019.109436
Lyeshchuk, O. (2010) Computational modeling of superhard materials synthesis. Computational Materials Science, 49 (1). doi:10.1016/j.commatsci.2010.01.047
Liang, Gui-Qin, Zhang, Jian (2022) A machine learning model for screening thermodynamic stable lead-free halide double perovskites. Computational Materials Science, 204. 111172pp. doi:10.1016/j.commatsci.2021.111172
Lv, Zhong, Chen, Huisu (2013) Analytical models for determining the dosage of capsules embedded in self-healing materials. Computational Materials Science, 68. 81-89 doi:10.1016/j.commatsci.2012.09.032
Slejko, Emanuele Alberto, Lughi, Vanni (2023) A thermodynamic tool for designing efficient syntheses of monodisperse and size-tuned nanocrystals. Computational Materials Science, 217. 111887 doi:10.1016/j.commatsci.2022.111887
 
and/or  
版权所有© mindat.org1993年至2026年，除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.6 04:47:31
Go to top of page