The materials modelling community is emerging as a champion for reproducible and reusable science. Aron Walsh discusses how FAIR databases, collaborative codes and transparent workflows are advancing this movement.
References
Lejaeghere, K. et al. Science 351, aad3000 (2016).
Dunn, A., Wang, Q., Ganose, A., Dopp, D. & Jain, A. npj Comput. Mater. 6, 138 (2020).
Artrith, N. et al. Nat. Chem. 13, 505–508 (2021).
Coudert, F.-X. Chem. Mater. 29, 2615–2617 (2017).
Wilkinson, M. D. et al. Sci. Data 3, 160018 (2016).
Draxl, C. & Scheffler, M. J. Phys. Mater. 2, 036001 (2019).
Talirz, L. et al. Sci. Data 7, 299 (2020).
Hjorth Larsen, A. et al. J. Phys. Condens. Matter 29, 273002 (2017).
Ong, S. P. et al. Comput. Mater. Sci. 68, 314–319 (2013).
Huber, S. P. et al. Sci. Data 7, 300 (2020).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing interests.
Rights and permissions
About this article
Cite this article
Walsh, A. Open computational materials science. Nat. Mater. 23, 16–17 (2024). https://doi.org/10.1038/s41563-023-01699-7
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41563-023-01699-7
- Springer Nature Limited