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\u53c2\u8003\u6587\u732e\uff1a<\/strong><\/p>\n

[1] Sheng X L, Yan Q B, Ye F, et al. T-carbon: a novel carbon allotrope[J]. Physical review letters, 2011, 106(15): 155703.<\/p>\n

[2] Zhang J, Wang R, Zhu X, et al. Pseudo-topotactic conversion of carbon nanotubes to T-carbon nanowires under picosecond laser irradiation in methanol[J]. Nature communications, 2017, 8(1): 683.<\/p>\n

[3] Liu Y, Zhao T, Ju W, et al. Materials discovery and design using machine learning[J]. Journal of Materiomics, 2017, 3(3): 159-177.<\/p>\n

[4] Fischer CC, Tibbetts KJ, Dane M, Ceder G. Predicting crystal structure by\u00a0merging data mining with quantum mechanics. Nat Mater 2006;5:641-6.<\/p>\n

[5] Hautier G, Fischer CC, Jain A, Mueller T, Ceder G. Finding nature’s missing\u00a0ternary oxide compounds using machine learning and density functional\u00a0theory. Chem Mater 2010;22:3762-7.<\/p>\n

[6] Isayev O, Oses C, Toher C, et al. Universal fragment descriptors for predicting properties of inorganic crystals[J]. Nature communications, 2017, 8: 15679.<\/p>\n

[7] Zurek E. Discovering new materials via a priori crystal structure prediction[J]. Reviews in Computational Chemistry, 2016, 29: 274-326.<\/p>\n

[8] Glass C W, Oganov A R, Hansen N. USPEX\u2014Evolutionary crystal structure prediction[J]. Computer physics communications, 2006, 175(11-12): 713-720.<\/p>\n

[9] Ma Y, Eremets M, Oganov A R, et al. Transparent dense sodium[J]. Nature, 2009, 458(7235): 182.<\/p>\n

\u672c\u6587\u7531\u00a0\u5b81\u5b81<\/strong> \u4f9b\u7a3f\u3002<\/p>\n

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