Experimental 2D materials database (X2DB)¶
If you are using data from this database in your research, please cite the following papers:
Article
Large-scale Integration of Experimental and Computational Data for 2D Materials
Mohammad Amin Akhound et al.
ACS Nano 2026, 20, 15, 12008–12022
Article
Two-dimensional materials need a shared experimental memory
Akhound, M.A., Sauer, M.O. & Thygesen, K.S.
Nat Rev Mater (2026)
Brief description¶
The X2DB is an open database containing structured meta-data for 2D materials that have been experimentally realized in monolayer or few-layer form. To enable consistent description, we use a taxonomy (see figure) covering crystal structure, sample morphology, synthesis methods, and characterization techniques. The X2DB does not contain measurement datasets. Experimental structures are – to the extent possible - linked to their corresponding structure in computational databases (monolayer, bilayer and bulk). It also supports community uploads of published data, ensuring that the database continues to expand and remains a living resource for the field.
Hierarchical classification tree of experimentally realized 2D materials. The main classes are distinguished by different colors (consistent with Table 1) and branch out into subclasses and terminal classes. The hierarchy of classes is determined primarily according to anion type, chemical composition/stoichiometry, and crystal structure, respectively. One representative member from each terminal class is shown at the end of the branches.
Funding acknowledgements¶
The project has received funding from the Novo Nordisk Foundation Challenge Programme 2021: Smart nanomaterials for applications in life-science, BIOMAG (Grant No. NNF21OC0066526) and VILLUM FONDEN (grant no. 37789).