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Full-Text Articles in Nuclear Engineering

Characterization Of The Microstructural Changes Of Zrb2 Under Heavy Ion Irradiation For Molten Salt Reactor Applications, Narrie Loftus Jan 2025

Characterization Of The Microstructural Changes Of Zrb2 Under Heavy Ion Irradiation For Molten Salt Reactor Applications, Narrie Loftus

Masters Theses

A primary challenge in finding suitable materials for Molten Salt Reactors (MSRs) lies in identifying those that concurrently exhibit high corrosion resistance, stability at elevated temperatures, resistance to radiation, and chemical compatibility with molten salts. 11B-enriched zirconium diboride (ZrB2) is a potential candidate for applications in MSRs due to its unique combination of properties, including high melting point, high thermal conductivity, and resistance to corrosion in harsh environments. This ultra-high temperature ceramic (UHTC) has exhibited stability under extreme conditions, making it an attractive material for components within MSRs.

The microstructural response of ZrB2 under heavy ion irradiation …


Training Machine Learning Algorithms For The Transient Startup Of A Long-Life Modular Microreactor, Ahmad N. Shaheen Dec 2024

Training Machine Learning Algorithms For The Transient Startup Of A Long-Life Modular Microreactor, Ahmad N. Shaheen

Nuclear Engineering ETDs

There is an increasing interest in developing and deploying small modular nuclear reactors (SMRs) and micro modular reactors (MMRs). They could be operated with minimal on-site personnel or remotely with a high degree of autonomy. This can be enabled through the use and application of Artificial Intelligence (AL) and Machine Learning (ML) algorithms and methods. The objective of the present work is to train machine learning algorithms for remote control mimicking the transient startup of the Very-Small, Long-LIfe, Modular (VSLLIM) microreactor. This walk-away safe microreactor design and a fully integrated transient model have been developed at the University of New …


Ai, American Politics, And Modern Warfare, Madisen Campbell Dec 2024

Ai, American Politics, And Modern Warfare, Madisen Campbell

Space and Defense

As artificial intelligence (AI) transforms modern warfare, it will pose profound ethical challenges for America’s constitutional democracy.

Technological advancements in the world today, particularly the field of artificial intelligence (AI), impact the current political system in the United States. The importance of understanding and addressing the complex challenges and opportunities of incorporating AI into American politics is key to developing a profound understanding of AI in modern warfare and the implications it has for policy making in America. The need for policy makers and military leaders to receive insight on the development of AI and to develop strategic approaches for …


U.S. 5g Technology Policy: Competition Or Boycott?, Wes Ferguson, Kyle Vargus Dec 2024

U.S. 5g Technology Policy: Competition Or Boycott?, Wes Ferguson, Kyle Vargus

Space and Defense

Rather than corral allies and partners across the globe into boycotting Chinese 5G telecommunication systems, U.S. officials should embrace free-and-fair trade competition against China, even in products and services where China may enjoy a technological lead.

The race for technological supremacy has emerged as a defining characteristic of the newest era of great power competition. China and the United States compete to become the dominant world power. Each side is racing to create the latest and most elite technologies to catapult themselves into the lead and give them the edge over their adversary. The fifth generation of wireless technology, called …


Atomic Assurance: Funding A Modern U.S. Test Readiness Program, Mark Tang Dec 2024

Atomic Assurance: Funding A Modern U.S. Test Readiness Program, Mark Tang

Space and Defense

To address intensified strategic competition with Russia and China, the United States should reinstate funding for a modern nuclear Test Readiness Program.

The U.S. has never faced the threat of two adversarial powers with nuclear arsenals that equal our own. With the emphasis on great power competition and mounting aggression by both China and Russia, the risk of conflict with either or both powers is growing. Currently, the U.S. is ill prepared for the possible existential challenge that is deterring conflict with two major nuclear peer adversaries. America’s defense strategy and approach towards the international order must change to protect …


Earth To Orbit: Three Models For Strengthening Space Deterrence, Anton Dahm Dec 2024

Earth To Orbit: Three Models For Strengthening Space Deterrence, Anton Dahm

Space and Defense

Nuclear, cyber, and integrated deterrence models hold lessons for space deterrence strategy, including declared thresholds, resilient space architecture, and the embrace of international competition in technological innovation.

The United States depends heavily on space capabilities, significantly more than any other country. Not only does space enable navigation, communications, environmental monitoring, and other vital capabilities, but space has also been described as the most essential warfighting domain. However, the U.S. space architecture mirrors its early days: relying on important, expensive payloads on a limited number of satellites. While providing important capabilities to U.S. decision-makers, kinetic and non-kinetic weapons can easily target …


The German Zeitenwende: Turning Point Or Blind Alley?, Savannah Hollen Dec 2024

The German Zeitenwende: Turning Point Or Blind Alley?, Savannah Hollen

Space and Defense

The Zeitenwende, or turning point, announced by Chancellor Olaf Scholz after Russia’s invasion of Ukraine in February 2022, may end up leaving Germany with few good defense policy options.

After Russia’s invasion of Ukraine in 2022, Germany vowed to change course, to expand and modernize its military, which for decades has been weak relative to the size of Europe’s leading economy. As bold as Germany’s declarations have been, German leaders may well have walked into a blind alley, unsure of exactly how Zeitenwende will happen, what the final results will be, or the consequences if they never come close to …


Strategic Space Cooperation: U.S. Space Command And The National Guard’S State Partnership Program, David Moore, Jesse Morehouse, Patrick Mitchell Dec 2024

Strategic Space Cooperation: U.S. Space Command And The National Guard’S State Partnership Program, David Moore, Jesse Morehouse, Patrick Mitchell

Space and Defense

In 2022, the U.S. Space Command (USSPACECOM) and the National Guard's State Partnership Program (SPP) began pursuing security cooperation objectives while integrating the space domain into greater deterrence efforts. As the newest combatant command (CCMD) with space as its Area of Responsibility (AOR), USSPACECOM has global strategic partnership interests and recognizes the value of the enduring relationships inherent in SPP. This cooperation allows the National Guard to offer its strong relationships, space expertise, and industry knowledge to USSPACECOM. This provides a foundation for USSPACECOM's security cooperation efforts. This article discusses the SPP's role in supporting USSPACECOM's engagement strategy and the …


Arms Control Optimism And Great Power Competition, Damon Coletta Dec 2024

Arms Control Optimism And Great Power Competition, Damon Coletta

Space and Defense

In its unjust war, Russia rakes at Ukrainian civilian targets using dual-capable missiles. China meanwhile tightens the screws on Taiwan as it cements its friendship with Russia and continues its buildup of strategic nuclear warheads.1 Conventional wisdom and U.S. policy under such tense conditions unduly discount expectations for arms control.2 Arms control, in the popular mind, centers on bans in testing or deployment, and is therefore terminally associated with disarmament. Trepidation about disarmament fuels assumptions in polarized democracy, and the United States in particular, about the narrow political conditions under which arms control can succeed during great power competition. Conventional …


Drone-Based, Boost-Phase Intercept Of North Korean Icbms, James D. Wells, William Priedhorsky, Frederick Lamb, Laura Grego Dec 2024

Drone-Based, Boost-Phase Intercept Of North Korean Icbms, James D. Wells, William Priedhorsky, Frederick Lamb, Laura Grego

Space and Defense

North Korea currently has an adversarial relationship with the United States and has successfully tested both nuclear weapons and intercontinental-range ballistic missiles (ICBMs) capable of striking the continental United States.1 There are several ways the United States could attempt to address the threat posed by North Korea’s nuclear-armed ICBMs. Historically, the United States has relied on a policy of projecting military strength, fostering strong alliances, and maintaining a credible threat of retaliation to deter adversaries, including those with nuclear weapons, from initiating hostilities. Some have argued that this approach has been instrumental in preventing conflict between nuclear-armed nations, including North …


A Premature Obituary For Conventional Deterrence, Jeffery S. Lehmkuhl Dec 2024

A Premature Obituary For Conventional Deterrence, Jeffery S. Lehmkuhl

Space and Defense

As the United States (US) continues to shift its weight of effort towards great power competition, some scholars and practitioners have questioned the relevance of conventional forces and their ability to deter. Chief among them is Sean McFate, who asserts that “conventional war is unicorn hunting” and that “no one fights that way anymore.”1 Jim Sciutto echoes McFate’s claims in his book The Shadow War and states that the US is losing to Russia and China in a new way of warfare that is conducted below the threshold of conventional warfare.2 Leading Russian General Valery Gerasimov furthered this claim when …


Nuclear Regimes In The 21st Century, Stephen J. Cimbala, Adam Lowther Dec 2024

Nuclear Regimes In The 21st Century, Stephen J. Cimbala, Adam Lowther

Space and Defense

The modern nuclear operations practitioner is facing a more complex future than at any point since the height of the Cold War. Understanding the past, present, and possible future of nuclear force structure and doctrine offers the policy maker a useful way to make sense of unfolding events and place them within a broader context. With China, Russia, and North Korea all posing a growing nuclear risk to the United States, a strong grasp on the available options for countering these threats is certainly important.


Editor's Note, Damon Coletta Dec 2024

Editor's Note, Damon Coletta

Space and Defense

No abstract provided.


Table Of Contents Vol. 15 No. 2 Dec 2024

Table Of Contents Vol. 15 No. 2

Space and Defense

No abstract provided.


Space And Defense Vol. 15 No. 2 Fall 2024 (Whole Issue) Dec 2024

Space And Defense Vol. 15 No. 2 Fall 2024 (Whole Issue)

Space and Defense

No abstract provided.


Removal Capabilities Of Zeolite And Zero Valent Iron With High-Level Waste Tank Radionuclides And Metals: Cesium, Strontium And Chromium, Colette R. Towles Dec 2024

Removal Capabilities Of Zeolite And Zero Valent Iron With High-Level Waste Tank Radionuclides And Metals: Cesium, Strontium And Chromium, Colette R. Towles

UNLV Theses, Dissertations, Professional Papers, and Capstones

High level nuclear waste (HLW) has been disposed for temporary storage in underground steel tanks at the Department of Energy Nuclear sites. For example, at the Hanford Site, WA, and Savannah River Site (SRS), SC, HLW account for eighty-eight million gallons (Mgal) and 450 million Curies (MCi) of radioactivity. In the early nuclear activity at Hanford, the waste was discharged to single-shell steel tanks, and the lack of secondary containment allowed leaks, contaminating soil and groundwater. Despite tremendous efforts to stabilize the liquid waste at nuclear sites, treatment is complex, costly, and time-consuming; therefore, HLW may have to be stored …


Notes For Contributors To Space & Defense Nov 2024

Notes For Contributors To Space & Defense

Space and Defense

No abstract provided.


Front Matter, Damon Coletta Nov 2024

Front Matter, Damon Coletta

Space and Defense

No abstract provided.


Deterministic Transport Of Coupled Energetic Light-Ions And Neutrons With Application To Inertial Confinement Fusion, Kyle Beling Nov 2024

Deterministic Transport Of Coupled Energetic Light-Ions And Neutrons With Application To Inertial Confinement Fusion, Kyle Beling

Nuclear Engineering ETDs

Numerical simulations of an inertial confinement fusion (ICF) target during the implosion process require high fidelity models of the radiation transport process. This work is interested in the transport of high-energy light-ions and neutrons in a background ICF plasma. As these energetic particles slow down, they experience knock-on (recoil) and thermonuclear (TN) collisions with the light-ions in the background plasma. These recoil and TN collisions excite the background light-ions causing them to transport through the plasma further exciting background light-ions. Mathematically, this cascading effect is described as a system of linear Boltzmann transport equations coupled through recoil and TN collision …


The Evaluation Of Machine Learning Techniques For Isotope Identification Contextualized By Training And Testing Spectral Similarity, Aaron P. Fjelsted, Tyler J. Morrow, Clayton D. Scott, Yilun Zhu, Darren E. Holland, Azaree T. Lintereur, Douglas E. Wolfe Sep 2024

The Evaluation Of Machine Learning Techniques For Isotope Identification Contextualized By Training And Testing Spectral Similarity, Aaron P. Fjelsted, Tyler J. Morrow, Clayton D. Scott, Yilun Zhu, Darren E. Holland, Azaree T. Lintereur, Douglas E. Wolfe

Faculty Publications

Precise gamma-ray spectral analysis is crucial in high-stakes applications, such as nuclear security. Research efforts toward implementing machine learning (ML) approaches for accurate analysis are limited by the resemblance of the training data to the testing scenarios. The underlying spectral shape of synthetic data may not perfectly reflect measured configurations, and measurement campaigns may be limited by resource constraints. Consequently, ML algorithms for isotope identification must maintain accurate classification performance under domain shifts between the training and testing data. To this end, four different classifiers (Ridge, Random Forest, Extreme Gradient Boosting, and Multilayer Perceptron) were trained on the same dataset …


Methods For Efficient Computation Of Neutron Multiplicity Distributions And Snm Sample Characterization, Jawad Ribhi Moussa Sep 2024

Methods For Efficient Computation Of Neutron Multiplicity Distributions And Snm Sample Characterization, Jawad Ribhi Moussa

Nuclear Engineering ETDs

This dissertation advances neutron multiplicity counting (NMC) by developing a hierarchy of computational methods that combine deterministic and stochastic techniques with modern machine learning for improved special nuclear material (SNM) characterization. A system state-updating Monte Carlo method is introduced in addition to a dynamic point kinetic model based on a backward Master equation (BME) formulation. These models, along with newly developed distribution reconstruction methods, enable more efficient computation of neutron count distributions in a fixed detector time-gate. NMC limitations associated with finite-size and neutron phase effects are also addressed by extending the BME model to account for time-gated neutron count …


Transfer Learning With Spinally Shared Layers, H. M.Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya Sep 2024

Transfer Learning With Spinally Shared Layers, H. M.Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Transfer-learned models have achieved promising performance in numerous fields. However, high-performing transfer-learned models contain a large number of parameters. In this paper, we propose a transfer learning approach with parameter reduction and potential high performance. Although the high performance depends on the nature of the dataset, we ensure the parameter reduction. In the proposed SpinalNet shared parameters, all intermediate-split-incoming parameters except the first-intermediate-split contain a shared value. Therefore, the SpinalNet shared parameters network contains three parameter groups: (1) first input-split to intermediate-split parameters, (2) shared intermediate-split-incoming parameters, and (3) intermediate-split-to-output-split parameters. The total number of parameters becomes lower than the …


Generation And Implementation Of Mixed Radiation From Laser Interactions On A Liquid Target, Benjamin M. Knight Sep 2024

Generation And Implementation Of Mixed Radiation From Laser Interactions On A Liquid Target, Benjamin M. Knight

Theses and Dissertations

The simultaneous generation of different forms of radiation from the same source is highly desirable but technically challenging. We present the generation of D-D fusion neutrons and >MeV-energy x-rays from extreme intensity (∼ 1019 W/cm2 ), high repetition-rate (1 kHz) laser pulses on a thin liquid target. Total neutron fluxes of ∼ 105 neutrons/s and x-ray exposure rates up to ∼ 200 R/hr at 74 cm are measured. Evidence of D-D fusion is verified with a measurement suite including three independent neutron detection systems: an EJ-309 organic scintillator, a 3He proportional counter, and a set of 36 …


Extraction Of Neutron-Gamma Irradiated Diffusion Pump Oils, Cooper L. Tillman Aug 2024

Extraction Of Neutron-Gamma Irradiated Diffusion Pump Oils, Cooper L. Tillman

All Theses

This work successfully demonstrates solvent extraction methods for separation of oil from the by-products when two commercially available vacuum pump oils were exposed to an intense neutron and gamma-ray radiation environment. Nuclear fusion power at a commercial scale has accelerated the need for radiation resistant vacuum technology, such as oil-based diffusion pumps. Polyphenyl ether and aromatic silicone oils were irradiated at the Rhode Island Nuclear Science Center (RINSC) up to MGy absorbed doses with neutron and gamma-ray radiation. Solvent extractions were performed using hexane and isopropanol to characterize the oil extraction as a function of total absorbed dose. The by-products …


Meteorological Data Mining And Synthesis For Supplementing On-Site Data For Regulatory Compliance, Ben Sonpon, Shoaib Usman, Joseph Smith, Sarah Kovaleski, Jason Wibbenmeyer Aug 2024

Meteorological Data Mining And Synthesis For Supplementing On-Site Data For Regulatory Compliance, Ben Sonpon, Shoaib Usman, Joseph Smith, Sarah Kovaleski, Jason Wibbenmeyer

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Many regulatory requirements add significant delay in the licensing of new nuclear power stations. One area of particular interest is the environmental impact of potential atmospheric release. The purpose of this research is to demonstrate effectiveness of meteorological data mining and synthesis from offsite locations to reduce need for onsite data, hence allowing rapid licensing. The automated procedures tested for data mining and extraction of meteorological data from multiple offsite sources and the data analytic tool developed for data fusion are presented here. Three important meteorological parameters from regulatory compliance are considered for this analysis: wind velocity, wind direction, and …


Meteorological Data Mining And Synthesis For Supplementing On-Site Data For Regulatory Compliance, Ben Sonpon, Shoaib Usman, Joseph Smith, Sarah Kovaleski, Jason Wibbenmeyer Aug 2024

Meteorological Data Mining And Synthesis For Supplementing On-Site Data For Regulatory Compliance, Ben Sonpon, Shoaib Usman, Joseph Smith, Sarah Kovaleski, Jason Wibbenmeyer

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Many regulatory requirements add significant delay in the licensing of new nuclear power stations. One area of particular interest is the environmental impact of potential atmospheric release. the purpose of this research is to demonstrate effectiveness of meteorological data mining and synthesis from offsite locations to reduce need for onsite data, hence allowing rapid licensing. the automated procedures tested for data mining and extraction of meteorological data from multiple offsite sources and the data analytic tool developed for data fusion are presented here. Three important meteorological parameters from regulatory compliance are considered for this analysis: wind velocity, wind direction, and …


Notes For Contributors, Space And Defense Jul 2024

Notes For Contributors, Space And Defense

Space and Defense

No abstract provided.


Waging Peace On The Final Frontier 64th Academy Assembly Proceedings, Space And Defense, Madison Walker Jul 2024

Waging Peace On The Final Frontier 64th Academy Assembly Proceedings, Space And Defense, Madison Walker

Space and Defense

In October 2022, the 64th annual Academy Assembly at the U.S. Air Force Academy took up the theme of “Waging Peace on the Final Frontier.” The following are proceedings of roundtables held by select undergraduates from around the country on questions of space policy & strategy.


Revitalizing America's Low-Yield Deterrent, Alex Kleitz Jul 2024

Revitalizing America's Low-Yield Deterrent, Alex Kleitz

Space and Defense

An array of low-yield weapons will play a vital role in integrated deterrence. *The following essay, submitted in June 2022, earned the Junior Division USSTRATCOM General Larry D. Welch Deterrence Writing Award.


The Unified Command Plan For A New Cold War, David Stilwell Jul 2024

The Unified Command Plan For A New Cold War, David Stilwell

Space and Defense

No abstract provided.