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Prediction of favorable isomeric structures for the C 100 to C 120 giant fullerenes. An application of the phason line criteria

1996; Wiley; Volume: 1; Issue: 1 Linguagem: Inglês

10.1002/ejtc.26

1082-4928

Mitsuho Yoshida, Midori Goto, Yuichi Hirose, Xiang Zhao, Eiji Ōsawa,

Machine Learning in Materials Science

Electronic Journal of Theoretical ChemistryVolume 1, Issue 1 p. 163-171 Research ArticleFree Access Prediction of favorable isomeric structures for the C100 to C120 giant fullerenes. An application of the phason line criteria M. Yoshida, Corresponding Author M. Yoshida Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanDepartment of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this authorH. Gotō, H. Gotō Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this authorY. Hirose, Y. Hirose Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this authorX. Zhao, X. Zhao Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this authorE. Ōsawa, Corresponding Author E. Ōsawa Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanDepartment of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this author M. Yoshida, Corresponding Author M. Yoshida Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanDepartment of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this authorH. Gotō, H. Gotō Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this authorY. Hirose, Y. Hirose Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this authorX. Zhao, X. Zhao Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this authorE. Ōsawa, Corresponding Author E. Ōsawa Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanDepartment of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi 441, JapanSearch for more papers by this author First published: 1996 https://doi.org/10.1002/ejtc.26Citations: 13AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Citing Literature Volume1, Issue11996Pages 163-171 RelatedInformation