The DOI matches its Crossref record.
Spin states, vibrations and spin relaxation in molecular nanomagnets and spin qubits: a critical perspective
Open accessAbstract
Spin–vibration coupling has been proven to be crucial for spin dynamics; theoretical studies are now addressing this experimental challenge.
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Citations
Cited by
Molecular magnetism: from chemical design to spin control in molecules, materials and devices
Coronado, E. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0146-8 · Cited by 1,084
Self-citationUncertainty estimates for magnetic relaxation times and magnetic relaxation parameters
Reta, D., & Chilton, N. F. (2019) · Physical Chemistry Chemical Physics · doi:10.1039/c9cp04301b · Cited by 361
Lunghi, A., & Sanvito, S. (2020) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.0c01187 · Cited by 35
Metadata
- Authors
- Escalera-Moreno, L., Baldoví, J. J., Gaita-Ariño, A., & Coronado, E.
- Venue
- Chemical Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 9
- Issue
- 13
- Pages
- 3265-3275
- ISSN
- 2041-6520 (ISSN-L)
- 2041-6539
- OpenAlex
- W2791828729
- Cited by
- 250
- References
- 0
- FWCI
- 10.46
- Type
- journal article
- Language
- en
- Open access
- diamond
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Spin states, vibrations and spin relaxation in molecular nanomagnets and spin qubits: a critical perspective. https://app.cochat.ai/papers/10.1039/c7sc05464e
- The paper
- Escalera-Moreno, L., Baldoví, J. J., Gaita-Ariño, A., & Coronado, E. (2018). Spin states, vibrations and spin relaxation in molecular nanomagnets and spin qubits: a critical perspective. Chemical Science. https://doi.org/10.1039/c7sc05464e
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.