The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
The first-principles phase diagram of monolayer nanoconfined water
Open accessAbstract
Water in nanoscale cavities is ubiquitous and of central importance to everyday phenomena in geology and biology. However, the properties of nanoscale water can be substantially different from those of bulk water, as shown, for example, by the anomalously low dielectric constant of water in nanochannels1, near frictionless water flow2 or the possible existence of a square ice phase3. Such properties suggest that nanoconfined water could be engineered for technological applications in nanofluidics4, electrolyte materials5 and water desalination6. Unfortunately, challenges in experimentally characterizing water at the nanoscale and the high cost of first-principles simulations have prevented the molecular-level understanding required to control the behaviour of water. Here we combine a range of computational approaches to enable a first-principles-level investigation of a single layer of water within a graphene-like channel. We find that monolayer water exhibits surprisingly rich and diverse phase behaviour that is highly sensitive to temperature and the van der Waals pressure acting within the nanochannel. In addition to multiple molecular phases with melting temperatures varying non-monotonically by more than 400 kelvins with pressure, we predict a hexatic phase, which is an intermediate between a solid and a liquid, and a superionic phase with a high electrical conductivity exceeding that of battery materials. Notably, this suggests that nanoconfinement could be a promising route towards superionic behaviour under easily accessible conditions. Monolayer water exhibits rich and diverse phase behaviour that is highly sensitive to temperature and the van der Waals pressure acting within the nanochannel.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Van der Waals heterostructures
Geim, A. K., & Grigorieva, I. V. (2013) · Nature · doi:10.1038/nature12385 · Cited by 10,875
Ordering, metastability and phase transitions in two-dimensional systems
Kosterlitz, J. M., & Thouless, D. J. (1973) · Journal of Physics C: Solid State Physics · doi:10.1088/0022-3719/6/7/010 · Cited by 9,538
Kühne, T. D., Iannuzzi, M., Del Ben, M., Rybkin, V. V., Seewald, P., Stein, F., Laino, T., Khaliullin, R. Z., Schütt, O., Schiffmann, F., et al. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0007045 · Cited by 4,468
The atomic simulation environment—a Python library for working with atoms
Hjorth Larsen, A., Jørgen Mortensen, J., Blomqvist, J., Castelli, I. E., Christensen, R., Dułak, M., Friis, J., Groves, M. N., Hammer, B., Hargus, C., et al. (2017) · Journal of Physics: Condensed Matter · doi:10.1088/1361-648x/aa680e · Cited by 4,464
Water conduction through the hydrophobic channel of a carbon nanotube
Hummer, G., Rasaiah, J. C., & Noworyta, J. P. (2001) · Nature · doi:10.1038/35102535 · Cited by 3,557
Proton Conductivity: Materials and Applications
Kreuer, K.-D. (1996) · Chemistry of Materials · doi:10.1021/cm950192a · Cited by 2,529
Water desalination using nanoporous single-layer graphene
Surwade, S. P., Smirnov, S. N., Vlassiouk, I. V., Unocic, R. R., Veith, G. M., Dai, S., & Mahurin, S. M. (2015) · Nature Nanotechnology · doi:10.1038/nnano.2015.37 · Cited by 1,692
Ab initio random structure searching
Pickard, C. J., & Needs, R. J. (2011) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/23/5/053201 · Cited by 1,302
Self-citationBjörkman, T., Gulans, A., Krasheninnikov, A. V., & Nieminen, R. M. (2012) · Physical Review Letters · doi:10.1103/physrevlett.108.235502 · Cited by 1,155
Anomalously low dielectric constant of confined water
Fumagalli, L., Esfandiar, A., Fabregas, R., Hu, S., Ares, P., Janardanan, A., Yang, Q., Radha, B., Taniguchi, T., Watanabe, K., et al. (2018) · Science · doi:10.1126/science.aat4191 · Cited by 1,067
Cited by
A foundation model for atomistic materials chemistry
Batatia, I., Benner, P., Chiang, Y., Elena, A. M., Kovács, D. P., Riebesell, J., Advincula, X. R., Asta, M., Avaylon, M., Baldwin, W. J., et al. (2024) · arXiv · doi:10.48550/arxiv.2401.00096 · Cited by 604
Self-citation
Metadata
- Authors
- Kapil, V., Schran, C., Zen, A., Chen, J., Pickard, C. J., & Michaelides, A.
- Venue
- Nature
- Published
- 2022-09-14
- Volume
- 609
- Issue
- 7927
- Pages
- 512-516
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3210084966
- Cited by
- 268
- References
- 38
- FWCI
- 14.51
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The first-principles phase diagram of monolayer nanoconfined water. https://app.cochat.ai/papers/10.1038/s41586-022-05036-x
- The paper
- Kapil, V., Schran, C., Zen, A., Chen, J., Pickard, C. J., & Michaelides, A. (2022). The first-principles phase diagram of monolayer nanoconfined water. Nature. https://doi.org/10.1038/s41586-022-05036-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.