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Nuclear Magnetic Double Resonance with an Incoherent Radio-Frequency Field
Abstract
The decoupling of heteronuclear spin systems by means of a strong irradiation of rf magnetic random noise is explored theoretically and experimentally. It is shown that it is feasible to eliminate simultaneously all splittings due to one or more nuclear species. Double resonance with random noise is of particular advantage if the resonance frequencies of the nuclei causing the splittings cover a wide spectral range and if, at the same time, the couplings are relatively weak. In the case of a narrow spectral range and strong couplings, double resonance with a coherently frequency-modulated rf field can give comparable decoupling effects. Double resonance with random noise has a strong similarity to the effects of chemical exchange and relaxation.
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Citations
Cited by
Evaluation of a new broadband decoupling sequence: WALTZ-16
Shaka, A. J., Keeler, J., & Freeman, R. (1983) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(83)90035-5 · Cited by 746
Dynamical control of qubit coherence: Random versus deterministic schemes
Santos, L. F., & Viola, L. (2005) · Physical Review A · doi:10.1103/physreva.72.062303 · Cited by 59
Metadata
- Authors
- Ernst, R. R.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1966-11-15
- Volume
- 45
- Issue
- 10
- Pages
- 3845-3861
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W1990353567
- Cited by
- 370
- References
- 0
- FWCI
- 4.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Nuclear Magnetic Double Resonance with an Incoherent Radio-Frequency Field. https://app.cochat.ai/papers/10.1063/1.1727409
- The paper
- Ernst, R. R. (1966). Nuclear Magnetic Double Resonance with an Incoherent Radio-Frequency Field. The Journal of Chemical Physics. https://doi.org/10.1063/1.1727409
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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.
