A Statistical Learning Framework for Materials Science: Application to Elastic Moduli of k-nary Inorganic Polycrystalline Compounds
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/srep34256.pdf
Reference70 articles.
1. Jain, A., Shin, Y. & Persson, K. A. Computational predictions of energy materials using density functional theory. Nature Reviews Materials 1, 15004 (2016).
2. Morgan, D., Ceder, G. & Curtarolo, S. High-throughput and data mining with ab initio methods. Measurement Science and Technology 16, 296 (2004).
3. Curtarolo, S. et al. Aflow: an automatic framework for high-throughput materials discovery. Computational Materials Science 58, 218–226 (2012).
4. Curtarolo, S. et al. The high-throughput highway to computational materials design. Nature Materials 12, 191–201 (2013).
5. Carrete, J., Li, W., Mingo, N., Wang, S. & Curtarolo, S. Finding unprecedentedly low-thermal-conductivity half-heusler semiconductors via high-throughput materials modeling. Physical Review X 4, 011019 (2014).
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