The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
High-Throughput Survey of Ordering Configurations in MXene Alloys Across Compositions and Temperatures
Abstract
2D transition metal carbides and nitrides known as MXenes are gaining increasing attention. About 20 of them have been synthesized (more predicted) and their applications in fields ranging from energy storage and electromagnetic shielding to medicine are being explored. To facilitate the search for double-transition-metal MXenes, we explore the structure–stability relationship for 8 MXene alloy systems, namely, (V 1– x Mo x ) 3 C 2, (Nb 1– x Mo x ) 3 C 2, (Ta 1– x Mo x ) 3 C 2, (Ti 1– x Mo x ) 3 C 2, (Ti 1– x Nb x ) 3 C 2, (Ti 1– x Ta x ) 3 C 2, (Ti 1– x V x ) 3 C 2, and (Nb 1– x V x ) 3 C 2, with 0 ≤ x ≤ 1, using high-throughput computations. Starting from density-functional theory calculated formation energies, we used the cluster expansion method to build quick-to-compute interactions, enabling us to scan through the formation energies of millions of alloying configurations. For the Mo-rich MXenes, (M1 1– x Mo x ) 3 C 2 (where M1: Ti, V, Nb, Ta) Mo atoms prefer to occupy the surface layers, and ordering persists to high temperatures, based on our Monte Carlo simulations. When Ti is alloyed with Nb or Ta, in the Ti-rich MXenes, Ti atoms prefer the surface layers (e.g., Ti–C–Nb–C–Ti sequence), and in the Nb- or Ta-rich MXenes, Ti occupies only one surface layer and the other two layers are Nb or Ta (e.g., Ti–C–Nb–C–Nb), exhibiting asymmetric ordering. However, alloying Ti with V results in solid solutions across all compositions. (Nb 1– x V x ) 3 C 2 phase separates at lower temperatures but forms solid solutions at synthesis temperatures. Postsynthesis annealing at moderate temperatures (800 to 1000 K) increases the ordering for all the compositions. Lastly, by investigating the stability of their precursor MAX phases and surface-terminated MXenes, we discuss the synthesis possibilities of highly ordered MXenes.
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
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
The chemistry of two-dimensional layered transition metal dichalcogenide nanosheets
Chhowalla, M., Shin, H. S., Eda, G., Li, L.-J., Loh, K. P., & Zhang, H. (2013) · Nature Chemistry · doi:10.1038/nchem.1589 · Cited by 10,034
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
Self-citation
Cited by
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
Metadata
- Authors
- Tan, T. L., Jin, H. M., Sullivan, M. B., Anasori, B., & Gogotsi, Y.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-03-23
- Volume
- 11
- Issue
- 5
- Pages
- 4407-4418
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2601118093
- Cited by
- 214
- References
- 3
- FWCI
- 6.55
- Type
- journal article
- Language
- en
- Open access
- closed
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: High-Throughput Survey of Ordering Configurations in MXene Alloys Across Compositions and Temperatures. https://app.cochat.ai/papers/10.1021/acsnano.6b08227
- The paper
- Tan, T. L., Jin, H. M., Sullivan, M. B., Anasori, B., & Gogotsi, Y. (2017). High-Throughput Survey of Ordering Configurations in MXene Alloys Across Compositions and Temperatures. ACS Nano. https://doi.org/10.1021/acsnano.6b08227
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.