The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Novel Structures and Superconductivity of Silane under Pressure
Open accessAbstract
Following the suggestion that hydrogen-rich compounds, and, in particular, silane (SiH4), might be high-T_{c} superconductors at moderate pressures, very recent experiments have confirmed that silane metallises and even becomes superconducting at high pressure. In this article, we present a structural characterization of compressed silane obtained with an ab initio evolutionary algorithm for crystal structure prediction. Besides the earlier molecular and chainlike structures of P2_{1}/c and I4_{1}/a symmetries, respectively, we propose two novel structures with space groups Fdd2 and Pbcn, to be stable at 25-55 and 220-250 GPa, respectively. According to our calculations, silane becomes metallic and superconducting at 220 GPa in the layered Pbcn structure, with a theoretical T_{c} of 16 K. Our calculations also show that the imaginary phonons of the recently proposed P6_{3} generate the Pbcn structure.
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
Crystal structure prediction using ab initio evolutionary techniques: Principles and applications
Oganov, A. R., & Glass, C. W. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2210932 · Cited by 2,596
Cited by
How Evolutionary Crystal Structure Prediction Works—and Why
Oganov, A. R., Lyakhov, A. O., & Valle, M. (2011) · Accounts of Chemical Research · doi:10.1021/ar1001318 · Cited by 1,240
Self-citationPeng, F., Sun, Y., Pickard, C. J., Needs, R. J., Wu, Q., & Ma, Y. (2017) · Physical Review Letters · doi:10.1103/physrevlett.119.107001 · Cited by 955
Self-citation
Metadata
- Authors
- Martinez-Canales, M., Oganov, A. R., Ma, Y., Yan, Y., Lyakhov, A. O., & Bergara, A.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2009-02-27
- Volume
- 102
- Issue
- 8
- Pages
- 087005-087005
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2146037467
- Cited by
- 160
- References
- 1
- FWCI
- 14.83
- 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: Novel Structures and Superconductivity of Silane under Pressure. https://app.cochat.ai/papers/10.1103/physrevlett.102.087005
- The paper
- Martinez-Canales, M., Oganov, A. R., Ma, Y., Yan, Y., Lyakhov, A. O., & Bergara, A. (2009). Novel Structures and Superconductivity of Silane under Pressure. Physical Review Letters. https://doi.org/10.1103/physrevlett.102.087005
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.
