The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Two Dimensional Ice from First Principles: Structures and Phase Transitions
Open accessAbstract
Despite relevance to disparate areas such as cloud microphysics and tribology, major gaps in the understanding of the structures and phase transitions of low-dimensional water ice remain. Here, we report a first principles study of confined 2D ice as a function of pressure. We find that at ambient pressure hexagonal and pentagonal monolayer structures are the two lowest enthalpy phases identified. Upon mild compression, the pentagonal structure becomes the most stable and persists up to ∼2 GPa, at which point the square and rhombic phases are stable. The square phase agrees with recent experimental observations of square ice confined within graphene sheets. This work provides a fresh perspective on 2D confined ice, highlighting the sensitivity of the structures observed to both the confining pressure and the width.
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
Phase Transitions Induced by Nanoconfinement in Liquid Water
Giovambattista, N., Rossky, P. J., & Debenedetti, P. G. (2009) · Physical Review Letters · doi:10.1103/physrevlett.102.050603 · Cited by 253
Giovambattista, N., Rossky, P. J., & Debenedetti, P. G. (2012) · Annual Review of Physical Chemistry · doi:10.1146/annurev-physchem-032811-112007 · Cited by 149
Cited by
Structure prediction drives materials discovery
Oganov, A. R., Pickard, C. J., Zhu, Q., & Needs, R. J. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0101-8 · Cited by 717
Self-citationAb Initio Simulations of Water/Metal Interfaces
Groß, A., & Sakong, S. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00679 · Cited by 303
The first-principles phase diagram of monolayer nanoconfined water
Kapil, V., Schran, C., Zen, A., Chen, J., Pickard, C. J., & Michaelides, A. (2022) · Nature · doi:10.1038/s41586-022-05036-x · Cited by 268
Self-citationXiao, B., Li, Y.-C., Yu, X.-F., & Cheng, J.-B. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b12727 · Cited by 258
Metadata
- Authors
- Chen, J., Schusteritsch, G., Pickard, C. J., Salzmann, C. G., & Michaelides, A.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2016-01-13
- Volume
- 116
- Issue
- 2
- Pages
- 025501-025501
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2260423940
- Cited by
- 217
- References
- 2
- FWCI
- 16.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Two Dimensional Ice from First Principles: Structures and Phase Transitions. https://app.cochat.ai/papers/10.1103/physrevlett.116.025501
- The paper
- Chen, J., Schusteritsch, G., Pickard, C. J., Salzmann, C. G., & Michaelides, A. (2016). Two Dimensional Ice from First Principles: Structures and Phase Transitions. Physical Review Letters. https://doi.org/10.1103/physrevlett.116.025501
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.