Tracking materials science data lineage to manage millions of materials experiments and analyses

Author:

Soedarmadji Edwin,Stein Helge S.,Suram Santosh K.,Guevarra Dan,Gregoire John M.ORCID

Funder

DOE | SC | Basic Energy Sciences

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Mechanics of Materials,General Materials Science,Modelling and Simulation

Reference64 articles.

1. Hattrick-Simpers, J. R., Gregoire, J. M. & Kusne, A. G. Perspective: Composition–structure–property mapping in high-throughput experiments: turning data into knowledge. APL Mater. 4, 53211–53212 (2016).

2. Belsky, A., Hellenbrandt, M., Karen, V. L. & Luksch, P. New developments in the Inorganic Crystal Structure Database (ICSD): accessibility in support of materials research and design. Acta Crystallogr. Sect. B: Struct. Sci. 58, 364–369 (2002).

3. Alberi, K. et al. The 2019 materials by design roadmap. J. Phys. D Appl. Phys. 52, 013001 (2019).

4. Aspuru-Guzik, A. & Persson, K. Materials acceleration platform: accelerating advanced energy materials discovery by integrating high-throughput methods and artificial intelligence. Mission Innovation: Innovation Challenge 6 (2018).

5. Hey, T., Tansley, S. & Tolle, K. M. The fourth paradigm: data-intensive scientific discovery. (Microsoft Research, Redmond, 2009).

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