A strategy to apply machine learning to small datasets in materials science
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Mechanics of Materials,General Materials Science,Modelling and Simulation
Link
http://www.nature.com/articles/s41524-018-0081-z.pdf
Reference62 articles.
1. Jordan, M. I.., & Mitchell, T. M.. Machine learning: trends, perspectives, and prospects. Science 349, 255–260 (2015).
2. Agrawal, A. & Choudhary, A. Perspective: materials informatics and big data: realization of the fourth paradigm of science in materials science. APL Mater. 4, 053208 (2016).
3. Lookman, T., Alexander, F. J. & Rajan, K. Information Science for Materials Discovery and Design (Springer, Switzerland, 2016).
4. Hill, J. et al. Materials science with large-scale data and informatics: unlocking new opportunities. MRS Bull. 41, 399–409 (2016).
5. Kalidindi, S. R. & Graef, M.D. Materials data science: current status and future outlook. Ann. Rev. Mater. Res. 45, 171–193 (2015).
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