Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 359

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Topology-Scaling Identification of Layered Solids and Stable Exfoliated 2D Materials

Open access
Ashton, Michael, Paul, Joshua, Sinnott, Susan B., Hennig, Richard G.·2017·Physical Review Letters

Abstract

The Materials Project crystal structure database has been searched for materials possessing layered motifs in their crystal structures using a topology-scaling algorithm. The algorithm identifies and measures the sizes of bonded atomic clusters in a structure's unit cell, and determines their scaling with cell size. The search yielded 826 stable layered materials that are considered as candidates for the formation of two-dimensional monolayers via exfoliation. Density-functional theory was used to calculate the exfoliation energy of each material and 680 monolayers emerge with exfoliation energies below those of already-existent two-dimensional materials. The crystal structures of these two-dimensional materials provide templates for future theoretical searches of stable two-dimensional materials. The optimized structures and other calculated data for all 826 monolayers are provided at our database (https://materialsweb.org).

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevlett.118.106101

Cites

41 of 41 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 41 references

Cited by

See all 359

Metadata

Authors
Ashton, M., Paul, J., Sinnott, S. B., & Hennig, R. G.
Venue
Physical Review Letters
Published
2017-03-07
Volume
118
Issue
10
Pages
106101-106101
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2541349792
Cited by
359
References
41
FWCI
17.39
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: Topology-Scaling Identification of Layered Solids and Stable Exfoliated 2D Materials. https://app.cochat.ai/papers/10.1103/physrevlett.118.106101
The paper
Ashton, M., Paul, J., Sinnott, S. B., & Hennig, R. G. (2017). Topology-Scaling Identification of Layered Solids and Stable Exfoliated 2D Materials. Physical Review Letters. https://doi.org/10.1103/physrevlett.118.106101

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.