Contents

Opportunities and challenges

We’ll begin our discussion with these slides:

References

Here are some helpful papers on this topic [1,2,3,4].

1

Anubhav Jain, Geoffroy Hautier, Shyue Ping Ong, and Kristin Persson. New opportunities for materials informatics: Resources and data mining techniques for uncovering hidden relationships. Journal of Materials Research, 31(8):977–994, 2016. doi:10.1557/jmr.2016.80.

2

Lauri Himanen, Amber Geurts, Adam Stuart Foster, and Patrick Rinke. Data-driven materials science: Status, challenges, and perspectives. Advanced Science, 6(21):1900808, 2019. doi:10.1002/advs.201900808.

3

Xiwen Jia, Allyson Lynch, Yuheng Huang, Matthew Danielson, Immaculate Lang'at, Alexander Milder, Aaron E. Ruby, Hao Wang, Sorelle A. Friedler, Alexander J. Norquist, and Joshua Schrier. Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis. Nature, 573(7773):251–255, 2019. doi:10.1038/s41586-019-1540-5.

4

David L. McDowell. Gaps and barriers to successful integration and adoption of practical materials informatics tools and workflows. JOM, 73(1):138–148, 2021. doi:10.1007/s11837-020-04434-8.

Recap first day File types