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Non-perturbative stability of supergravity and superstring vacua
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“In this view, the solution is very similar to the static supersymmetric domain walls that interpolate between supersymmetric vacua in supergravity theories [5].”
From Bubbles of nothing and supersymmetric compactifications (2016) · cites this paper as [5]
In the citing paper
“Indeed, when considering the non-perturbative stability of false vacua [20,21], if supersymmetry is unbroken the decay rate will be zero, as the euclidean action of the instanton associated to the nucleation of a “true vacuum” bubble will diverge [22][23][24].”
From Nothing is certain in string compactifications (2020) · cites this paper as [24]
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Research works printed but not linked: 31
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Cited by
Nothing is certain in string compactifications
Etxebarria, I. G., Montero, M., Sousa, K., & Valenzuela, I. (2020) · Journal of High Energy Physics · doi:10.1007/jhep12(2020)032 · Cited by 87
Bubbles of nothing and supersymmetric compactifications
Blanco-Pillado, J. J., Shlaer, B., Sousa, K., & Urrestilla, J. (2016) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2016/10/002 · Cited by 27
Metadata
- Authors
- Cvetič, M., Griffies, S., & Rey, S.-J.
- Venue
- Nuclear Physics B
- Publisher
- Elsevier BV
- Published
- 1993-01
- Volume
- 389
- Issue
- 1
- Pages
- 3-24
- ISSN
- 0550-3213
- Cited by
- 56
- References
- 0
- Language
- en
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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.
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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.
