The DOI matches its Crossref record.
Recipes for enhanced molecular cooling
Abstract
Molecular nanomagnets are considered valid candidates for magnetic refrigeration at low temperatures. Designing these materials for enhanced cooling requires the control and optimization of the quantum properties at the molecular level, in particular: spin ground state, magnetic anisotropy, and presence of low-lying excited spin states. Herein, we present the theoretical framework together with a critical review of recent results, and perspectives for future developments.
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
Triazoles and tetrazoles: Prime ligands to generate remarkable coordination materials
Aromí, G., Barrios, L. A., Roubeau, O., & Gamez, P. (2011) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2010.10.038 · Cited by 989
Molecule-based magnetic coolers
Zheng, Y.-Z., Zhou, G.-J., Zheng, Z., & Winpenny, R. E. P. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60337g · Cited by 578
High-Nuclearity 3d–4f Clusters as Enhanced Magnetic Coolers and Molecular Magnets
Peng, J.-B., Zhang, Q.-C., Kong, X.-J., Zheng, Y.-Z., Ren, Y.-P., Long, L.-S., Huang, R.-B., Zheng, L.-S., & Zheng, Z. (2012) · Journal of the American Chemical Society · doi:10.1021/ja209752z · Cited by 469
Large Magnetocaloric Effect in a Wells–Dawson Type {Ni6Gd6P6} Cage
Zheng, Y., Evangelisti, M., & Winpenny, R. E. P. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201008074 · Cited by 299
Self-citationMachine learning guided design of single-molecule magnets for magnetocaloric applications
Holleis, L., Shivaram, B. S., & Balachandran, P. V. (2019) · Applied Physics Letters · doi:10.1063/1.5094553 · Cited by 29
Metadata
- Authors
- Evangelisti, M., & Brechin, E. K.
- Venue
- Dalton Transactions
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 39
- Issue
- 20
- Pages
- 4672
- ISSN
- 1477-9226 (ISSN-L)
- 1477-9234
- OpenAlex
- W2158391865
- Cited by
- 463
- References
- 0
- FWCI
- 17.31
- 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: Recipes for enhanced molecular cooling. https://app.cochat.ai/papers/10.1039/b926030g
- The paper
- Evangelisti, M., & Brechin, E. K. (2010). Recipes for enhanced molecular cooling. Dalton Transactions. https://doi.org/10.1039/b926030g
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.