The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The Computational 2D Materials Database: high-throughput modeling and discovery of atomically thin crystals
Open accessAbstract
We introduce the Computational 2D Materials Database (C2DB), which organises a variety of structural, thermodynamic, elastic, electronic, magnetic, and optical properties of around 1500 two-dimensional materials distributed over more than 30 different crystal structures. Material properties are systematically calculated by state-of-the-art density functional theory and many-body perturbation theory ( and the Bethe–Salpeter equation for ∼250 materials) following a semi-automated workflow for maximal consistency and transparency. The C2DB is fully open and can be browsed online ( http://c2db.fysik.dtu.dk ) or downloaded in its entirety. In this paper, we describe the workflow behind the database, present an overview of the properties and materials currently available, and explore trends and correlations in the data. Moreover, we identify a large number of new potentially synthesisable 2D materials with interesting properties targeting applications within spintronics, (opto-)electronics, and plasmonics. The C2DB offers a comprehensive and easily accessible overview of the rapidly expanding family of 2D materials and forms an ideal platform for computational modeling and design of new 2D materials and van der Waals heterostructures.
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Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Electronics and optoelectronics of two-dimensional transition metal dichalcogenides
Wang, Q. H., Kalantar-Zadeh, K., Kis, A., Coleman, J. N., & Strano, M. S. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.193 · Cited by 16,374
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Jain, A., Ong, S. P., Hautier, G., Chen, W., Richards, W. D., Dacek, S., Cholia, S., Gunter, D., Skinner, D., Ceder, G., et al. (2013) · APL Materials · doi:10.1063/1.4812323 · Cited by 13,094
Electronic excitations: density-functional versus many-body Green’s-function approaches
Onida, G., Reining, L., & Rubio, A. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.601 · Cited by 4,155
Mounet, N., Gibertini, M., Schwaller, P., Campi, D., Merkys, A., Marrazzo, A., Sohier, T., Castelli, I. E., Cepellotti, A., Pizzi, G., et al. (2018) · Nature Nanotechnology · doi:10.1038/s41565-017-0035-5 · Cited by 1,863
Reproducibility in density functional theory calculations of solids
Lejaeghere, K., Bihlmayer, G., Björkman, T., Blaha, P., Blügel, S., Blum, V., Caliste, D., Castelli, I. E., Clark, S. J., Dal Corso, A., et al. (2016) · Science · doi:10.1126/science.aad3000 · Cited by 1,649
Two-Dimensional Molybdenum Carbide (MXene) as an Efficient Electrocatalyst for Hydrogen Evolution
Seh, Z. W., Fredrickson, K. D., Anasori, B., Kibsgaard, J., Strickler, A. L., Lukatskaya, M. R., Gogotsi, Y., Jaramillo, T. F., & Vojvodic, A. (2016) · ACS Energy Letters · doi:10.1021/acsenergylett.6b00247 · Cited by 1,482
Hautier, G., Fischer, C. C., Jain, A., Mueller, T., & Ceder, G. (2010) · Chemistry of Materials · doi:10.1021/cm100795d · Cited by 580
Cited by
Ten Years of Progress in the Synthesis and Development of MXenes
Naguib, M., Barsoum, M. W., & Gogotsi, Y. (2021) · Advanced Materials · doi:10.1002/adma.202103393 · Cited by 1,257
Jiang, X., Kuklin, A. V., Baev, A., Ge, Y., Ågren, H., Zhang, H., & Prasad, P. N. (2020) · Physics Reports · doi:10.1016/j.physrep.2019.12.006 · Cited by 914
From DFT to machine learning: recent approaches to materials science–a review
Schleder, G. R., Padilha, A. C. M., Acosta, C. M., Costa, M., & Fazzio, A. (2019) · Journal of Physics: Materials · doi:10.1088/2515-7639/ab084b · Cited by 852
Electrically-Transduced Chemical Sensors Based on Two-Dimensional Nanomaterials
Meng, Z., Stolz, R. M., Mendecki, L., & Mirica, K. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00311 · Cited by 773
2D materials as an emerging platform for nanopore-based power generation
Macha, M., Marion, S., Nandigana, V. V. R., & Radenovic, A. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0126-z · Cited by 426
Metadata
- Authors
- Haastrup, S., Strange, M., Pandey, M., Deilmann, T., Schmidt, P. S., Hinsche, N. F., Gjerding, M. N., Torelli, D., Larsen, P. M., Riis-Jensen, A. C., Gath, J., Jacobsen, K. W., Jørgen Mortensen, J., Olsen, T., & Thygesen, K. S.
- Venue
- 2D Materials
- Publisher
- IOP Publishing
- Published
- 2018-09-07
- Volume
- 5
- Issue
- 4
- Pages
- 042002
- ISSN
- 2053-1583 (ISSN-L)
- OpenAlex
- W2806275814
- Cited by
- 1,226
- References
- 8
- FWCI
- 36.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Haastrup, S., Strange, M., Pandey, M., Deilmann, T., Schmidt, P. S., Hinsche, N. F., Gjerding, M. N., Torelli, D., Larsen, P. M., Riis-Jensen, A. C., Gath, J., Jacobsen, K. W., Jørgen Mortensen, J., Olsen, T., & Thygesen, K. S. (2018). The Computational 2D Materials Database: high-throughput modeling and discovery of atomically thin crystals. 2D Materials. https://doi.org/10.1088/2053-1583/aacfc1
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