Data-centric science for materials innovation

© 2018 Materials Research Society MRS BULLETIN • VOLUME 43 • SEPTEMBER 2018 • www.mrs.org/bulletin Data-intensive scientifi c discovery The challenges of dealing with the rapid growth of data in materials science-related fi elds has long been recognized. 1 – 3 With more recent advances in computer science, the tools for advancing data-intensive scientifi c discovery have opened the door for more engagement from the scientifi c community. As suggested by Gray, this has created “The Fourth Paradigm: Data-Intensive Scientifi c Discovery.” 4 He pointed out that experimental, theoretical, and computational science were all being affected by the data deluge, and a fourth “data-intensive” science paradigm was emerging. Indeed, we are witnessing materials science being greatly affected in the new era of “datacentric” materials science, which will likely become the new paradigm for materials research and education. For more than a decade, MRS Bulletin has published issues related to the nexus of data science and materials science, including materials informatics 5 and microstructural informatics. 6 In this issue, we continue to expand on those themes by focusing on the numerous efforts in developing and utilizing databases of electronic structure calculations, and their impact on addressing different classes of problems in materials science.

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