The DOI matches its Crossref record.
Data-Driven Design of Ecofriendly Thermoelectric High-Entropy Sulfides
Open accessAbstract
Abstract High-entropy compounds with compositional complexity can be designed as new thermoelectric materials. Here a data-driven model was developed, which chose suitable elements to reduce the enthalpy of formation and hence to increase the chance of single phase formation. Using this model, two high-entropy sulfides were designed, metallic Cu5SnMgGeZnS9 and semiconducting Cu3SnMgInZnS7. They were then successfully fabricated as single-phase dense ceramics with homogeneously distributed cations, and their phase stability and atomic local structures were investigated using density functional theory calculations. Finally, a zT value of 0.58 at 773 K was obtained for Cu5Sn1.2MgGeZnS9, where additional Sn was used to tune the carrier concentration. This work provides a simple approach to find new high-entropy functional materials in the largely unexplored multielement chemical space.
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
Cited by
Oses, C., Toher, C., & Curtarolo, S. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0170-8 · Cited by 2,081
High‐Entropy Oxides: Fundamental Aspects and Electrochemical Properties
Sarkar, A., Wang, Q., Schiele, A., Chellali, M. R., Bhattacharya, S. S., Wang, D., Brezesinski, T., Hahn, H., Velasco, L., & Breitung, B. (2019) · Advanced Materials · doi:10.1002/adma.201806236 · Cited by 1,234
High-entropy energy materials: challenges and new opportunities
Ma, Y., Ma, Y., Wang, Q., Schweidler, S., Botros, M., Fu, T., Hahn, H., Brezesinski, T., & Breitung, B. (2021) · Energy & Environmental Science · doi:10.1039/d1ee00505g · Cited by 963
Review of high entropy ceramics: design, synthesis, structure and properties
Zhang, R.-Z., & Reece, M. J. (2019) · Journal of Materials Chemistry A · doi:10.1039/c9ta05698j · Cited by 760
Self-citationCation-disordered rocksalt-type high-entropy cathodes for Li-ion batteries
Lun, Z., Ouyang, B., Kwon, D.-H., Ha, Y., Foley, E. E., Huang, T.-Y., Cai, Z., Kim, H., Balasubramanian, M., Sun, Y., et al. (2021) · Nature Materials · doi:10.1038/s41563-020-00816-0 · Cited by 689
Metadata
- Authors
- Zhang, R.-Z., Gucci, F., Zhu, H., Chen, K., & Reece, M. J.
- Venue
- Inorganic Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-09-26
- Volume
- 57
- Issue
- 20
- Pages
- 13027-13033
- ISSN
- 0020-1669 (ISSN-L)
- 1520-510X
- OpenAlex
- W2893657573
- Cited by
- 349
- References
- 0
- FWCI
- 7.95
- 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: Data-Driven Design of Ecofriendly Thermoelectric High-Entropy Sulfides. https://app.cochat.ai/papers/10.1021/acs.inorgchem.8b02379
- The paper
- Zhang, R.-Z., Gucci, F., Zhu, H., Chen, K., & Reece, M. J. (2018). Data-Driven Design of Ecofriendly Thermoelectric High-Entropy Sulfides. Inorganic Chemistry. https://doi.org/10.1021/acs.inorgchem.8b02379
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.
