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

Klintenberg, M., Eriksson, O. (2013) Possible high-temperature superconductors predicted from electronic structure and data-filtering algorithms. Computational Materials Science, 67. 282-286 doi:10.1016/j.commatsci.2012.08.038

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePossible high-temperature superconductors predicted from electronic structure and data-filtering algorithms
JournalComputational Materials Science
AuthorsKlintenberg, M.Author
Eriksson, O.Author
Year2013 (February)Volume67
PublisherElsevier BV
DOIdoi:10.1016/j.commatsci.2012.08.038Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9507387Long-form Identifiermindat:1:5:9507387:5
GUID0
Full ReferenceKlintenberg, M., Eriksson, O. (2013) Possible high-temperature superconductors predicted from electronic structure and data-filtering algorithms. Computational Materials Science, 67. 282-286 doi:10.1016/j.commatsci.2012.08.038
Plain TextKlintenberg, M., Eriksson, O. (2013) Possible high-temperature superconductors predicted from electronic structure and data-filtering algorithms. Computational Materials Science, 67. 282-286 doi:10.1016/j.commatsci.2012.08.038
In(n.d.) Computational Materials Science Vol. 67. Elsevier BV

See Also

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

Ortiz, C., Eriksson, O., Klintenberg, M. (2009) Data mining and accelerated electronic structure theory as a tool in the search for new functional materials. Computational Materials Science, 44 (4). 1042-1049 doi:10.1016/j.commatsci.2008.07.016
Aslam, Muhammad Aamir, Ding, Z.J. (2019) Electronic and mechanical properties of predicted tin nitride stoichiometric compounds under high pressure. Computational Materials Science, 169. 109113pp. doi:10.1016/j.commatsci.2019.109113
Harris, Kenneth D.M. (2009) Fundamentals and applications of genetic algorithms for structure solution from powder X-ray diffraction data. Computational Materials Science, 45 (1). 16-20 doi:10.1016/j.commatsci.2008.04.032
Lebègue, S., Klintenberg, M., Eriksson, O., Katsnelson, M. I. (2009) Accurate electronic band gap of pure and functionalized graphane from GW calculations. Physical Review B, 79 (24) doi:10.1103/physrevb.79.245117
Seegmiller, Colton C., Baird, Sterling G., Sayeed, Hasan M., Sparks, Taylor D. (2023) Discovering chemically novel, high-temperature superconductors. Computational Materials Science, 228. Elsevier BV. 112358 doi:10.1016/j.commatsci.2023.112358
Mai, Thi Ly, Tran, Vinh Hung (2019) DFT study of electronic structure properties of SrAFe4As4 (A = Rb and Cs) superconductors. Computational Materials Science, 156. 206-214 doi:10.1016/j.commatsci.2018.09.052
Escalante, Jose M. (2018) Non-linear behavior of germanium electronic band structure under high strain. Computational Materials Science, 152. 223-227 doi:10.1016/j.commatsci.2018.05.047
Phelan, Dominic, Reid, Mark, Dippenaar, Rian (2005) Experimental and modelling studies into high temperature phase transformations. Computational Materials Science, 34 (3). 282-289 doi:10.1016/j.commatsci.2005.02.006
Shein, I.R., Enyashin, A.N., Ivanovskii, A.L. (2011) Nanotubes of layered iron-based superconductors: Simulations of atomic structure and electronic properties. Computational Materials Science, 50 (3). 824-827 doi:10.1016/j.commatsci.2010.10.015
Mai, Thi Ly, Tran, Vinh Hung (2019) Ab initio study of electronic structure properties of CaAFe4As4 (A = K, Rb and Cs) superconductors. Computational Materials Science, 169. 109114pp. doi:10.1016/j.commatsci.2019.109114
Pant, Dharmendra; Aidhy, Dilpuneet S. (2026) Predicting mechanical properties from electronic structure in refractory high-entropy alloys using machine learning and DFT. Computational Materials Science, 269. doi:10.1016/j.commatsci.2026.114700
 
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: 2026.6.8 14:07:07
Go to top of page