A data ecosystem to support machine learning in materials science

Author:

Blaiszik Ben,Ward Logan,Schwarting Marcus,Gaff Jonathon,Chard Ryan,Pike Daniel,Chard Kyle,Foster Ian

Funder

National Science Foundation

Argonne National Laboratory

National Institute of Standards and Technology

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science

Reference34 articles.

1. A. White: The materials genome initiative: one year on. MRS Bull. 37, 71–716 (2012).

2. B. Blaiszik, K. Chard, J. Pruyne, R. Ananthakrishnan, S. Tuecke, and I. Foster: The materials data facility: data services to advance materials science research. JOM 68, 204–2052 (2016).

3. R. Chard, Z. Li, K. Chard, L. Ward, Y. Babuji, A. Woodard, S. Tuecke, B. Blaiszik, M.J. Franklin, and I. Foster: DLHub: Model and Data Serving for Science, 2018. http://arxiv.org/abs/1811.11213 (accessed March 8, 2019).

4. P. Nguyen, S. Konstanty, T. Nicholson, T. OBrien, A. Schwartz-Duval, T. Spila, K. Nahrstedt, R.H. Campbell, I. Gupta, M. Chan, K. Mchenry, and N. Paquin: 4CeeD: real-time data acquisition and analysis framework for material-related cyber-physical environments. In 2017 17th IEEE/ ACM Int. Symp. Clust. Cloud Grid Comput., IEEE, 2017; pp. 11–20. doi:10.1109/CCGRID.2017.51.

5. J. O’Mara, B. Meredig, and K. Michel: Materials data infrastructure: a case study of the citrination platform to examine data import, storage, and access. JOM 68, 2031–2034 (2016).

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