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Cited by 542

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Nuclear Fuel in a Reactor Accident

Burns, Peter C., Ewing, Rodney C., Navrotsky, Alexandra·2012·Science

Abstract

Mechanics of a Meltdown: For all the potential hazards presented by nuclear power plants, there have been very few incidents that have caused human or environmental harm. However, those that have happened have often had disastrous consequences, for example, the accidents at Chernobyl in Ukraine and, just last year, at Fukushima Daiichi in Japan. Burns et al. (p. 1184 ; see the cover) review the state of knowledge on the chemical and physical processes following the nuclear reactor accident and how these results may inform decision-making during future events. Because a large portion of prior research has focused on radionuclide transport following leaks from nuclear waste repositories, and not active reactors, experiments at the more extreme conditions experienced in major nuclear core-melt accidents may have more predictive value.

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Registry

Crossref · 10.1126/science.1211285

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Metadata

Authors
Burns, P. C., Ewing, R. C., & Navrotsky, A.
Venue
Science
Published
2012-03-09
Volume
335
Issue
6073
Pages
1184-1188
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2010871116
Cited by
542
References
9
FWCI
14.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nuclear Fuel in a Reactor Accident. https://app.cochat.ai/papers/10.1126/science.1211285
The paper
Burns, P. C., Ewing, R. C., & Navrotsky, A. (2012). Nuclear Fuel in a Reactor Accident. Science. https://doi.org/10.1126/science.1211285

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.