Advances in Predictive Modeling of Nuclear Energy Systems
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (20 February 2017) | Viewed by 23785
Special Issue Editor
Interests: all areas of nuclear engineering; sensitivity and uncertainty analysis of large-scale systems; predictive modeling by combining experimental and computational information to reduce uncertainties in predicted results
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue presents advances in predictive modeling and its applications to nuclear energy. Predictive modeling includes the following elements: (i) computation of model response sensitivities to model parameters; (ii) quantification of the uncertainties in model responses caused by uncertainties in the model parameters and by insufficient knowledge of the processes being modeled; (iii) developing “validation metrics” for quantifying the degree to which a model represents reality (“model validation”); (iv) integration (“assimilation”) of computational and experimental information for improving the model’s parameters (“model calibration”) and producing optimally predicted results with reduced predicted uncertainties. The applications of predictive modeling to nuclear energy includes sensitivity analysis and uncertainty quantification in reactor physics and thermal-hydraulics, reducing the uncertainties in reactor design margins, reprocessing, and waste disposal, non-proliferation and safeguards.
Prof. Dan Gabriel Cacuci
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- predictive modeling
- sensitivity analysis
- uncertainty quantification and reduction
- data assimilation
- model calibration
- model validation
- nuclear energy system
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