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You searched for subject:(nuclear reactor physics). Showing records 1 – 5 of 5 total matches.

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University of California – Irvine

1. Heckmaier, Elizabeth Klara Marie. Addressing the Reactor Antineutrino Anomaly with a New Detector Array for Fission Fragment Beta-Spectroscopy.

Degree: Physics, 2018, University of California – Irvine

 Since the discovery of the neutrino in 1956, nuclear reactors have played an important role in understanding the properties of beta decay and probing the… (more)

Subjects/Keywords: Nuclear physics and radiation; Particle physics; Beta Spectroscopy; Decay; Detectors; Nuclear; Reactor Antineutrino Anomaly; Weak Interaction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Heckmaier, E. K. M. (2018). Addressing the Reactor Antineutrino Anomaly with a New Detector Array for Fission Fragment Beta-Spectroscopy. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/7rd5f743

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Heckmaier, Elizabeth Klara Marie. “Addressing the Reactor Antineutrino Anomaly with a New Detector Array for Fission Fragment Beta-Spectroscopy.” 2018. Thesis, University of California – Irvine. Accessed July 20, 2019. http://www.escholarship.org/uc/item/7rd5f743.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Heckmaier, Elizabeth Klara Marie. “Addressing the Reactor Antineutrino Anomaly with a New Detector Array for Fission Fragment Beta-Spectroscopy.” 2018. Web. 20 Jul 2019.

Vancouver:

Heckmaier EKM. Addressing the Reactor Antineutrino Anomaly with a New Detector Array for Fission Fragment Beta-Spectroscopy. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2019 Jul 20]. Available from: http://www.escholarship.org/uc/item/7rd5f743.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Heckmaier EKM. Addressing the Reactor Antineutrino Anomaly with a New Detector Array for Fission Fragment Beta-Spectroscopy. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/7rd5f743

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McMaster University

2. Younan, Simon. Comparative study of accident-tolerant fuel for a CANDU lattice.

Degree: MASc, 2017, McMaster University

McMaster University MASTER OF APPLIED SCIENCES (2017) Hamilton, Ontario (Engineering Physics) TITLE: Comparative study of accident-tolerant fuel for a CANDU lattice AUTHOR: Simon Younan, B.Eng.… (more)

Subjects/Keywords: nuclear engineering; reactor physics; CANDU; accident-tolerant fuel; Serpent 2; Monte Carlo; accident-tolerant cladding

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APA (6th Edition):

Younan, S. (2017). Comparative study of accident-tolerant fuel for a CANDU lattice. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/22194

Chicago Manual of Style (16th Edition):

Younan, Simon. “Comparative study of accident-tolerant fuel for a CANDU lattice.” 2017. Masters Thesis, McMaster University. Accessed July 20, 2019. http://hdl.handle.net/11375/22194.

MLA Handbook (7th Edition):

Younan, Simon. “Comparative study of accident-tolerant fuel for a CANDU lattice.” 2017. Web. 20 Jul 2019.

Vancouver:

Younan S. Comparative study of accident-tolerant fuel for a CANDU lattice. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/11375/22194.

Council of Science Editors:

Younan S. Comparative study of accident-tolerant fuel for a CANDU lattice. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22194


McMaster University

3. Sharpe, Jason. Innovative Analysis Techniques for Canadian SCWR Neutronics.

Degree: PhD, 2017, McMaster University

Knowledge of the effects of nuclear data uncertainties and physics approximations is crucial for the development, design, operation, and accident mitigation, of nuclear power plants.… (more)

Subjects/Keywords: physics; neutronics; engineering; nuclear; scwr; canadian; reactor; super; critical; water-cooled; diffusion; experiment; transport; technique

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharpe, J. (2017). Innovative Analysis Techniques for Canadian SCWR Neutronics. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/22064

Chicago Manual of Style (16th Edition):

Sharpe, Jason. “Innovative Analysis Techniques for Canadian SCWR Neutronics.” 2017. Doctoral Dissertation, McMaster University. Accessed July 20, 2019. http://hdl.handle.net/11375/22064.

MLA Handbook (7th Edition):

Sharpe, Jason. “Innovative Analysis Techniques for Canadian SCWR Neutronics.” 2017. Web. 20 Jul 2019.

Vancouver:

Sharpe J. Innovative Analysis Techniques for Canadian SCWR Neutronics. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/11375/22064.

Council of Science Editors:

Sharpe J. Innovative Analysis Techniques for Canadian SCWR Neutronics. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22064


McMaster University

4. Moghrabi, Ahmad. INVESTIGATION OF LATTICE PHYSICS PHENOMENA WITH UNCERTAINTY ANALYSIS AND SENSITIVITY STUDY OF ENERGY GROUP DISCRETIZATION FOR THE CANADIAN PRESSURE TUBE SUPERCRITICAL WATER-COOLED REACTOR.

Degree: PhD, 2018, McMaster University

The Generation IV International Forum (GIF) has initiated an international collaboration for the research and development of the Generation IV future nuclear energy systems. The… (more)

Subjects/Keywords: Generation IV nuclear reactor; Canadian PT-SCWR; Advanced nuclear Energy system; Lattice physics phenomena; Energy group structure optimization; SCALE code; Uncertainty Analysis; Sensitivity Analysis; Transport Calcuations; Optimization and algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moghrabi, A. (2018). INVESTIGATION OF LATTICE PHYSICS PHENOMENA WITH UNCERTAINTY ANALYSIS AND SENSITIVITY STUDY OF ENERGY GROUP DISCRETIZATION FOR THE CANADIAN PRESSURE TUBE SUPERCRITICAL WATER-COOLED REACTOR. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/22886

Chicago Manual of Style (16th Edition):

Moghrabi, Ahmad. “INVESTIGATION OF LATTICE PHYSICS PHENOMENA WITH UNCERTAINTY ANALYSIS AND SENSITIVITY STUDY OF ENERGY GROUP DISCRETIZATION FOR THE CANADIAN PRESSURE TUBE SUPERCRITICAL WATER-COOLED REACTOR.” 2018. Doctoral Dissertation, McMaster University. Accessed July 20, 2019. http://hdl.handle.net/11375/22886.

MLA Handbook (7th Edition):

Moghrabi, Ahmad. “INVESTIGATION OF LATTICE PHYSICS PHENOMENA WITH UNCERTAINTY ANALYSIS AND SENSITIVITY STUDY OF ENERGY GROUP DISCRETIZATION FOR THE CANADIAN PRESSURE TUBE SUPERCRITICAL WATER-COOLED REACTOR.” 2018. Web. 20 Jul 2019.

Vancouver:

Moghrabi A. INVESTIGATION OF LATTICE PHYSICS PHENOMENA WITH UNCERTAINTY ANALYSIS AND SENSITIVITY STUDY OF ENERGY GROUP DISCRETIZATION FOR THE CANADIAN PRESSURE TUBE SUPERCRITICAL WATER-COOLED REACTOR. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/11375/22886.

Council of Science Editors:

Moghrabi A. INVESTIGATION OF LATTICE PHYSICS PHENOMENA WITH UNCERTAINTY ANALYSIS AND SENSITIVITY STUDY OF ENERGY GROUP DISCRETIZATION FOR THE CANADIAN PRESSURE TUBE SUPERCRITICAL WATER-COOLED REACTOR. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/22886

5. Huang, Lloyd Michael. Neutronic analysis and optimization of the advanced high temperature reactor fuel design using machine learning.

Degree: PhD, Mechanical Engineering, 2017, Georgia Tech

 The Liquid Salt Cooled Reactor (LSCR) is a graphite moderated and liquid salt cooled reactor The LSCR is designed with the intention of providing superior… (more)

Subjects/Keywords: Neutronics; Optimization; Machine learning; Neural networks; Reactor physics; Advanced high temperature reactor; Advanced reactor; Nuclear reactor; Monte Carlo

reactor physics and statistics problem. AHTR Design Background The AHTR is a 3400 MWth high… …analyzed in Chapter 5. Finally the two sides of the research, reactor physics and statistics, are… …modeling methodology. Physics surrogate model is generated with Artificial Neural Network (… …106 xv LIST OF ABBREVIATIONS AHTR Advanced High Temperature Reactor TRISO… …Tristructural-Isotropic Fuel HTR High Temperature Reactor (Gas cooled) CHM Carbon-to… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, L. M. (2017). Neutronic analysis and optimization of the advanced high temperature reactor fuel design using machine learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58712

Chicago Manual of Style (16th Edition):

Huang, Lloyd Michael. “Neutronic analysis and optimization of the advanced high temperature reactor fuel design using machine learning.” 2017. Doctoral Dissertation, Georgia Tech. Accessed July 20, 2019. http://hdl.handle.net/1853/58712.

MLA Handbook (7th Edition):

Huang, Lloyd Michael. “Neutronic analysis and optimization of the advanced high temperature reactor fuel design using machine learning.” 2017. Web. 20 Jul 2019.

Vancouver:

Huang LM. Neutronic analysis and optimization of the advanced high temperature reactor fuel design using machine learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/1853/58712.

Council of Science Editors:

Huang LM. Neutronic analysis and optimization of the advanced high temperature reactor fuel design using machine learning. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58712

.