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Articles 1 - 30 of 4850
Full-Text Articles in Engineering
Actionable Hydrologic Data To Information With National Water Model-Based Derived Dataset, Cutting-Edge Data Services, And Agentic Ai System, Sujan Chandra Mondol
Actionable Hydrologic Data To Information With National Water Model-Based Derived Dataset, Cutting-Edge Data Services, And Agentic Ai System, Sujan Chandra Mondol
Theses and Dissertations
Hydrologic data are the cornerstone of many complex hydrologic research and operational workflows that produce useful hydrologic information for water resources decision-making, flood risk communication, and water availability implications. The National Water Model (NWM) is a valuable source of hydrologic data, particularly for its extended coverage of unmonitored streams and the large-scale continuity of hydrologic processes. Precomputed secondary datasets derived from this simulated data, such as streamflow indices, can improve operational efficiency through thresholding. Disseminating the data through modern technologies, such as application programming interfaces, is required for ready integration into applications. However, if extraction requires an intermediate service, there …
Comparing Principal Component Analysis And Sequential Fusion Deeponet With Varying Dataset Size For Design Space Exploration Of Hypersonic Flow, J. Dallan Trentman
Comparing Principal Component Analysis And Sequential Fusion Deeponet With Varying Dataset Size For Design Space Exploration Of Hypersonic Flow, J. Dallan Trentman
Theses and Dissertations
Design space exploration and optimization of hypersonic vehicles is costly due to the difficulty of producing high fidelity CFD simulations in the hypersonic domain. Reduced order modeling can allow for design optimization at a fraction of the computational cost. This paper investigates the amount of training data required to produce an accurate Reduced Order Model. A PCA based ROM is developed and compared to a Sequential Fusion DeepONet by comparing model prediction accuracy, training time, and prediction time, across dataset sizes from 25 samples to 1024 samples. These models are applied to 2D hypersonic CFD simulations of the Orion reentry …
Resonant Shock Plate Simulation And Prediction Using Modal Substructuring, Harrison C. Denning
Resonant Shock Plate Simulation And Prediction Using Modal Substructuring, Harrison C. Denning
Theses and Dissertations
Aerospace structures such as rockets can experience various shock events during flight, such as stage separation or impacts. These shock events can expose components inside the rocket to large accelerations and stresses which in turn can damage the parts. Shocks are often simulated in the lab using a resonant shock plate test. Resonant shock plate testing is often used to qualify aerospace parts, as it can mimic the shocks experienced during launch and stage separations. However, during the course of development, both the definition of the shock environment and the design of the subcomponent tend to change, so that multiple …
Rfsoc Based Ground Penetrating Radar For Detection And Avoidance Of Underground Utilities, Brady Bowerbank
Rfsoc Based Ground Penetrating Radar For Detection And Avoidance Of Underground Utilities, Brady Bowerbank
Theses and Dissertations
Preexisting underground utilities present a considerable danger to underground boring projects. Gas and electrical lines can be damaged, leading to major economic impact and even loss of life. While maps of underground utilities exist, they are not always accurate and gas and electrical lines can shift over time, necessitating tools to accurately detect utilities so that crews can steer the machines away from any possible danger. In this thesis, the design of a new frequency-modulated continuous-wave (FMCW) ground penetrating radar (GPR) is outlined. The design of a lightweight, flexible radar is demonstrated using the CASPER FPGA framework with an operating …
Isoperimetric Soft Robots, Mihai Stanciu
Isoperimetric Soft Robots, Mihai Stanciu
Theses and Dissertations
This thesis presents two advances in isoperimetric soft robotic trusses that improve their performance, modularity, and configurability. The first contribution introduces a large-scale modular robotic truss designed as a lightweight, reconfigurable structure for lunar applications. The system consists of inflatable fabric tubes routed through motorized roller units and interconnected by a newly developed spherical joint that enables multiple robotic triangles to connect at a common vertex. The resulting truss can be assembled into structures beyond a single octahedron while retaining compact stowage when deflated and untethered operation after initial inflation. Experimental validation demonstrates modular assembly, long-term pressure retention, load-bearing capabilities …
Thermophysical Property Studies: 1. Thermodynamic Consistency For Associating Compounds 2. Autoignition Temperature, Cassandra Jane Guffey
Thermophysical Property Studies: 1. Thermodynamic Consistency For Associating Compounds 2. Autoignition Temperature, Cassandra Jane Guffey
Theses and Dissertations
Accurate thermophysical property data are essential for the design, optimization, and safe operation of chemical processes. Properties such as vapor pressure, enthalpy of vaporization, heat capacity, density, and autoignition temperature--which are among the properties studied in this work--are required for equipment sizing, process simulation, hazard assessment, and economic evaluation. A major focus of this dissertation is the application of multi-property thermodynamic consistency techniques to compounds that exhibit strong vapor-phase association. These methods improve confidence in recommended property values by enforcing rigorous thermodynamic relationships among ideal-gas heat capacity, liquid heat capacity, vapor and liquid densities, vapor pressure, and enthalpy of vaporization. …
Radiation Testing And Failure Analysis Of A Complex Heterogeneous Soc, Garrett Smith
Radiation Testing And Failure Analysis Of A Complex Heterogeneous Soc, Garrett Smith
Theses and Dissertations
Heterogeneous System on Chips (SoCs) provide a robust platform that can flexibly handle different applications. Their small form factor and low power consumption for their performance have made SoCs an attractive option for space applications. However, SoCs are sensitive to the ionizing radiation found in space. We need to understand how an SoC will behave in the high radiation found in space. This requires us to perform radiation testing of the SoCs on Earth to understand their behavior. The radiation testing and analysis of a heterogeneous SoC is complex as it contains multiple different processing cores, memories, and other system …
System Design And Validation Of Radio Astronomy Phased Arrays, Rebecca Shiu Haymore
System Design And Validation Of Radio Astronomy Phased Arrays, Rebecca Shiu Haymore
Theses and Dissertations
Modern radio astronomy instruments require a wide field of view and high sensitivity. To this effect, BYU and Cornell University have developed the Advanced L-band Phased Array Camera for Astronomy (ALPACA), a fully cryogenic 69 dual-pol dipole array that produces 80 beams on the sky with 305 MHz instantaneous bandwidth centered on 1500 MHz. Integration testing has demonstrated proper beamforming and calibration, and ALPACA has been commissioned as an all-sky monitor to search for bright transients. Commissioning testing for ALPACA measured an element system noise temperature of 24 K and a beamformed system noise temperature of 17 K, making ALPACA …
Radiation Effects On The Amd Versal Running An Automatic Modulation Classification Model, Allan D. Howe
Radiation Effects On The Amd Versal Running An Automatic Modulation Classification Model, Allan D. Howe
Theses and Dissertations
With the recent increase of interest into artificial intelligence (AI), graphics processing units (GPUs) have been used as the main hardware architecture for AI computation. Because of their high power consumption and large size, it is necessary to consider other architectures to perform AI computing in outer-space where size, weight, power, and cost (SWaP-C) are tightly constrained. One such architecture is the Advanced Micro Devices (AMD) Versal Adaptive Compute Acceleration Platform (ACAP), which can achieve acceptable AI throughput at a lower power and size compared to a GPU. As the Versal ACAP gets used in space applications, it is necessary …
Equivocation Analysis Across Continuous And Discrete Memoryless Channels, Md Munibun Billah
Equivocation Analysis Across Continuous And Discrete Memoryless Channels, Md Munibun Billah
Theses and Dissertations
Physical-layer security uses the noise already present in the channel to keep a message secret without making any assumption about the eavesdropper's computing power. In Wyner's wiretap channel model, coset coding uses randomness to map the message to many codewords and protects against information leakage from an active eavesdropper. The secrecy provided by such codes is measured by their equivocation, which is the eavesdropper's remaining uncertainty about the message after she observes her channel. So computing equivocation is an important aspect of analyzing the wiretap channel model. Many channels of practical interest have no closed-form expression for equivocation, and exact …
Instructional Slides From Molten Salt Electrochemistry Symposium (Moses) 2026, Devin Rappleye, Carlos Mejia, Alex Peroff
Instructional Slides From Molten Salt Electrochemistry Symposium (Moses) 2026, Devin Rappleye, Carlos Mejia, Alex Peroff
Faculty Publications
This instructional slide set was developed for the 2026 Molten Salt Electrochemistry Symposium (MoSES) as an introduction and review of fundamental electrochemical concepts and methods used in molten salt systems. The material is intended for students, researchers, and practitioners seeking to better understand and interpret electrochemical measurements in high-temperature molten salts.
Topics include electrochemical thermodynamics, kinetics, mass transfer, electrode potentials, cyclic voltammetry, chronopotentiometry, chronoamperometry, square-wave voltammetry, electrochemical impedance spectroscopy (EIS), and common approaches for analyzing electrochemical data. Emphasis is placed on building physical intuition, understanding underlying assumptions, recognizing common experimental artifacts, and connecting electrochemical signals to real chemical and transport …
Property Tables For Thermally Perfect Gases At Low Pressure, Travis J. Moore, Matthew R. Jones
Property Tables For Thermally Perfect Gases At Low Pressure, Travis J. Moore, Matthew R. Jones
Faculty Publications
Tables giving gas properties at low pressure enable the efficient analysis of processes in which the gas is approximated as thermally perfect but not calorically perfect. In addition to specific enthalpy and specific internal energy, thermally perfect gas tables include special functions that depend only on temperature—relative pressure and relative specific volume. These functions may be used to determine pressure, volume, and temperature of thermally perfect gases undergoing hypothetical isentropic processes. However, the definitions of these functions included in widely used thermodynamics textbooks are vague, inconsistent, or incorrect. The intent of this work is to discuss common inaccuracies in the …
The Open Wiki Of Electrochemical Methods (Owem): A Community-Driven Educational Resource, Anderson Fuller, Devin Rappleye
The Open Wiki Of Electrochemical Methods (Owem): A Community-Driven Educational Resource, Anderson Fuller, Devin Rappleye
Reviews, Analyses, and Instructional Studies in Electrochemistry (RAISE)
The traditional resources for learning electrochemical methods—textbooks, academic literature, and university coursework—remain essential but are limited in accessibility, update frequency, and practical usability. This paper introduces the Open Wiki of Electrochemical Methods (OWEM), an open-access, community-driven platform designed to complement these resources. OWEM organizes content into equations, definitions, methods, tutorials, and supplementary articles, with a heavy emphasis on experimental relevance. A case study on cyclic voltammetry demonstrates how OWEM consolidates foundational theory, lesser-known results, and practical guidance within a continuously maintainable framework to benefit the broader electrochemistry community.
Friction Stir Processing Of Cobalt-Chromium-Molybdenum For Improvements In Biomedical Applications, Kaleb Kiyoshi Bates
Friction Stir Processing Of Cobalt-Chromium-Molybdenum For Improvements In Biomedical Applications, Kaleb Kiyoshi Bates
Theses and Dissertations
Friction Stir Processing (FSP) has been investigated as a means of microstructural modification aimed at improving mechanical properties such as corrosion resistance and wear resistance of biomedical-grade cobalt-chromium-molybdenum (CoCrMo) alloy. FSP was successfully completed on high-carbon ASTM F1537 CoCrMo plates with operating temperatures ranging from 630°C to 850°C by adjusting spindle speed, traverse speed, and forge force. Hardness, wear resistance, and corrosion resistance testing were performed, along with Electron Backscatter Diffraction (EBSD) to analyze grain refinement and phase structure. FSP produced grain refinement up to 97% relative to the untreated baseline across the investigated temperature range, with lower processing temperatures …
Toward Passwordless Document Encryption, Isaac Henry Teuscher
Toward Passwordless Document Encryption, Isaac Henry Teuscher
Theses and Dissertations
Document files with sensitive information are used across nearly every industry. In recent years, cyberattacks targeting cloud-based file transfer applications have resulted in millions of sensitive documents being exposed. Although document encryption methods exist, they are often limited in usability, security, or deployability. Password-based encryption, the most widely available option, remains vulnerable to brute-force attacks, unauthorized sharing, and human error. We address these gaps in three phases. First, we present a structured comparative framework adapted from the usability-deployability-security model to evaluate nine document encryption methods across 15 design properties, identifying the benefits and limitations of current approaches. Second, we design …
Hierarchical Parcel Swapping: A Novel Model In Turbulence, Masoomeh Behrang
Hierarchical Parcel Swapping: A Novel Model In Turbulence, Masoomeh Behrang
Theses and Dissertations
Turbulent mixing plays a central role in a wide range of engineering and natural systems, particularly in reactive flows where turbulence--chemistry interactions strongly influence reaction rates, flame structure, and emissions. Accurately modeling these interactions remains a major challenge due to the multiscale and stochastic nature of turbulence, as well as the nonlinear coupling between transport and chemical kinetics. This dissertation develops and evaluates the Hierarchical Parcel Swapping (HiPS) model, a fully stochastic framework designed to represent turbulence-driven transport and scalar mixing without relying on traditional gradient-based closures. HiPS is investigated both as a standalone turbulence model and as a subgrid …
Calibration And Validation Of An Ogden Material Model For Thermoplastic Polyurethane In 3d-Printed Tensegrity Structures, Caleb C. Swain
Calibration And Validation Of An Ogden Material Model For Thermoplastic Polyurethane In 3d-Printed Tensegrity Structures, Caleb C. Swain
Theses and Dissertations
This work is motivated by ongoing efforts within the Smart Materials, Adaptronics, and Shock Laboratory (SMASH Lab) at Brigham Young University (BYU) to develop variable-stiffness, external fixators using 3D-printed tensegrity structures. In the process of designing and evaluating these systems, the need arose to accurately model the nonlinear mechanical behavior of thermoplastic polyurethane (TPU), the primary material used in prototype fabrication. This thesis investigates how accurately a calibrated Ogden material model can predict the nonlinear mechanical response of TPU in 3D-printed tensegrity structures. Experimental data were used to calibrate the parameters of the hyperelastic constitutive model through nonlinear optimization. An …
Engineering 3d Optical Interconnects And Low-Power Radio Frequency Gaze Tracking, Blake P. Crosby
Engineering 3d Optical Interconnects And Low-Power Radio Frequency Gaze Tracking, Blake P. Crosby
Theses and Dissertations
This thesis presents two independent research works in optical in- terconnects and radio-frequency (RF)-based gaze tracking. The first work demonstrates a silicon optical waveguide fabricated from four through-silicon vias (TSVs) produced using two-photon-absorption- assisted photo-electrochemical etching. Unlike conventional TSV fabrica- tion methods, this approach enables highly localized, non-line-of-sight etching in silicon using a focused femtosecond laser. Four approximately 5 μm diameter TSVs were etched through a 200 μm silicon wafer in a 7 μm by 7 μm pattern, leaving a central silicon region that functions as a waveguide. The fabricated structure achieved an aspect ratio of approxi- mately 40:1 with …
Scalable Flat In-Plane-Motion Mechanical Springs (Sfims) Force Vs Displacement Data, Jared Hunter, Larry L. Howell
Scalable Flat In-Plane-Motion Mechanical Springs (Sfims) Force Vs Displacement Data, Jared Hunter, Larry L. Howell
ScholarsArchive Data
Force versus displacement data is captured in CSV files for five configurations of Scalable, Flat, In-Plane Motion Mechanical Springs (SFIMS). The five configurations are the Folded Beam Suspension, the Chevron, the Interlaced Chevron, the Canted Triple Folded Beam Suspension, and a Variable Stiffness SFIMS.
A Parallelized Multi-Component Radiation Testing Methodology For Systems-On-Chip, Weston M. Smith
A Parallelized Multi-Component Radiation Testing Methodology For Systems-On-Chip, Weston M. Smith
Theses and Dissertations
As the space industry expands, there is an increased reliance on system on chip (SoC) devices in high radiation environments. The reliability of these devices becomes crucial, especially in space applications. The industry's rapid growth has led to a massive expansion in the use of Commercial Off-The-Shelf (COTS) components. Electronic systems are vulnerable to single event upsets (SEUs) and the failure modes caused by SEUs are not fully understood, especially for COTS SoCs. Standard radiation testing techniques of SEUs use a single core of a multi-core processor to monitor bit flips. In this work, we present a parallelized radiation testing …
Developing Custom High Resolution 3d Printers For Microfluidic Device Fabrication, Dallin Scott Miner
Developing Custom High Resolution 3d Printers For Microfluidic Device Fabrication, Dallin Scott Miner
Theses and Dissertations
The advancement of microfluidics in biomedical diagnostics and lab-on-a-chip systems is increasingly dependent on the ability to fabricate complex, three-dimensional architectures with high-resolution negative features. While Digital Light Processing Stereolithography (DLP-SLA) has emerged as a leading fabrication method, it remains constrained by a fundamental trade-off between feature resolution and build volume, as well as challenges regarding fabrication consistency and design accessibility. This dissertation presents an integrated ecosystem of hardware, materials, and software designed to overcome these barriers and enable scalable, high-resolution microfluidic fabrication. We first introduce a novel multi-resolution 3D printing technique utilizing a dual-optical engine architecture, comprising a Very …
Evaluating C-Band Scatterometer Images For Estimating Deforestation In The Amazon Rainforest, Alex Mcbride
Evaluating C-Band Scatterometer Images For Estimating Deforestation In The Amazon Rainforest, Alex Mcbride
Theses and Dissertations
Satellite-based active microwave sensors have been successfully employed for a wide range of vegetation and soil studies. Spaceborne microwave instruments have proven particularly useful for wide-scale monitoring of the vegetation, especially under conditions that limit the effectiveness of high-resolution optical sensors. Satellite scatterometry can be used to detect and model deforestation in the Amazon rainforest by correlating changes in the C-band backscatter data to observed changes in vegetation coverage. The exploratory methodology developed in this paper applies the longest continuous microwave satellite record to the problem of deforestation. The backscatter measurements taken by the ERS and ASCAT missions provide more …
A Peer Evaluation Of Safety At Signalized Intersections, Auzton Mitchell Stutts
A Peer Evaluation Of Safety At Signalized Intersections, Auzton Mitchell Stutts
Theses and Dissertations
The Utah Department of Transportation (UDOT) has made significant efforts to reduce crashes at signalized intersections and is constantly seeking to improve safety across the state. The purpose of this research is to quantify and evaluate the safety rates and frequencies at signalized intersections in Utah compared to other states. Once the crashes have been quantified, the secondary purpose is to determine why there may or may not be differences. A survey was developed to understand how states analyze, prioritize, and implement safety at signalized intersections, including different policies, procedures, and countermeasures. Crash data from eight states were analyzed and …
Design Of Precise Hinges For Optical Space Arrays, Jacob Sutton
Design Of Precise Hinges For Optical Space Arrays, Jacob Sutton
Theses and Dissertations
Deployable origami-based arrays offer significant advantages for space optical systems due to their ability to stow compactly and deploy to a large surface area. However, achieving the panel alignment precision required for optical applications remains an open challenge, particularly for non-rigid-foldable patterns such as the flasher, where large relative motion during deployment and geometric constraints at panel interfaces limit the effectiveness of traditional hinge designs. This thesis addresses the precision alignment challenge through the design, prototyping, and experimental testing of novel passive precision hinges for rigid-panel origami-based deployable space arrays. A compact kinematic coupling hinge incorporating Lamina Emergent Torsional (LET) …
Development Of A Low-Cost Roadside Monitoring System For Identifying High-Emitting Heavy-Duty Trucks, Spencer Larson
Development Of A Low-Cost Roadside Monitoring System For Identifying High-Emitting Heavy-Duty Trucks, Spencer Larson
Theses and Dissertations
This project investigated the feasibility of using low-cost sensors to identify high-emitting heavy-duty diesel trucks through roadside emissions monitoring. A sampling system was designed and tested in both laboratory and field environments to evaluate sensor performance and measurement reliability. In the laboratory, controlled engine testing enabled direct comparison between low-cost sensors and research-grade instruments to establish baseline accuracy, response time, and sources of uncertainty. These tests demonstrated that while low-cost sensors exhibit greater bias and slower response, several are capable of detecting transient emission events. Field deployments revealed that real-world conditions, such as plume dilution, spatial variability, and short exposure …
The Reliability Of Yolo Object Detection On The Amd Versal In A Proton Radiation Environment, Jacob D. Brown
The Reliability Of Yolo Object Detection On The Amd Versal In A Proton Radiation Environment, Jacob D. Brown
Theses and Dissertations
Object detection is an important operation for satellites to be able to perform, and in outer-space missions it is crucial that machine learning models perform inference on satellite images accurately and reliably. Where size, weight, power, and other constraints exist, meeting this goal for accurate and reliable object detection is challenging. Additionally, soft errors caused by radiation further disrupt and degrade the operation of object detection in satellites. This thesis studies the performance of a deep learning model on an embedded device, the AMD Versal, in the presence of soft errors. The well-known and high-performing YOLO convolutional neural network was …
Land-Use Intensity Of U.S. Wastewater Treatment Facilities By Secondary Process, Robert B. Sowby, Chandler W. Johnson
Land-Use Intensity Of U.S. Wastewater Treatment Facilities By Secondary Process, Robert B. Sowby, Chandler W. Johnson
ScholarsArchive Data
1. Excel workbook of sample data
2. Shapefile of sample site
3. Shapefile of site areas
Engagement Modeling And Inference For Risk-Aware Path Planning Under Adversarial Uncertainty, Grant Stagg
Engagement Modeling And Inference For Risk-Aware Path Planning Under Adversarial Uncertainty, Grant Stagg
Theses and Dissertations
This dissertation develops methods for planning safe and efficient trajectories for autonomous vehicles operating in environments containing adversarial and environmental threats with uncertain parameters. The central objective is to quantify and control the risk of adverse events--such as interception or detection--when threat characteristics are imperfectly known. To address this challenge, probabilistic weapon engagement zone (PEZ) models are introduced to estimate the likelihood of violating adversarial engagement constraints under uncertainty in pursuer state and capabilities. Multiple computational strategies are developed for PEZ evaluation, including first-order sensitivity-based approximations, Monte Carlo estimation, and neural-network surrogate models. These approaches enable rapid engagement-probability assessment and …
Analysis Of Approximations In Flash Thermal Diffusivity Measurements Using High‑Fidelity Simulations, Tage T. Burnett, Jakob G. Bates, Matthew R. Jones, Christopher R. Dillon, John Tencer
Analysis Of Approximations In Flash Thermal Diffusivity Measurements Using High‑Fidelity Simulations, Tage T. Burnett, Jakob G. Bates, Matthew R. Jones, Christopher R. Dillon, John Tencer
Faculty Publications
Thermal diffusivity is an important material property for understanding and characterizing transient behavior in many heat transfer applications. This study investigates the accuracy and approximations of inverse mathematical models for measuring thermal diffusivity of materials via the widely used Flash Method. High-fidelity simulations of the Flash Method in copper, silicon carbide, silicon, and glass were performed as numerical experiments and included physics such as in-depth absorption, radial conduction, and surface convection. Data from those numerical experiments were used to estimate material thermal diffusivity using seven traditional and new inverse models. Parker’s original model had relative errors 𝜖< 5% when the approximations it makes were enforced in numerical experiments. Newer models performed well even when experimental restrictions were relaxed. Models that include radial heat conduction were capable of accurately measuring thermal diffusivity (𝜖< 1%) when a Gaussian energy source was used. Models with radial conduction and in-depth material absorption of the laser source could calculate thermal diffusivity for semi-transparent materials such as silicon (𝜖< 1%) and even transparent materials like glass (𝜖< 10%). Convective losses from the material’s front surface had a negligible impact on measurements except for very low thermal diffusivity materials. Using temperatures from many locations of the test material’s surface increased resilience to noise, reducing the distribution of thermal diffusivity measurements by more than an order of magnitude. The models developed in this study could enable a more relaxed Flash Method experimental setup that maintains thermal diffusivity accuracy and extend the utility of the Flash Method to semitransparent materials.
A Comparative Study Of Tin Electrorefining In Molten Licl–Kcl–Cacl₂: Experimental Two-Electrode Current Control And Theoretical Three-Electrode Potential Control, Bryant Johnson, George Ankrah, Ander Fuller, Devin Rappleye
A Comparative Study Of Tin Electrorefining In Molten Licl–Kcl–Cacl₂: Experimental Two-Electrode Current Control And Theoretical Three-Electrode Potential Control, Bryant Johnson, George Ankrah, Ander Fuller, Devin Rappleye
Reviews, Analyses, and Instructional Studies in Electrochemistry (RAISE)
Molten salt electrorefining is a mature technology for metal recovery, yet conventional current‑controlled, two‑electrode operation provides limited electrochemical selectivity and restricted insight into electrode‑specific behavior. In this work, a simplified model is developed to compare current‑controlled two‑electrode electrorefining data with a potential‑controlled three‑electrode electrorefining simulation using tin in molten LiCl–KCl–CaCl₂ as a surrogate for plutonium processing. The model examines anodic and cathodic limitations under fixed‑potential operation and evaluates implications for selectivity, efficiency, and runtime relative to experimentally demonstrated two‑electrode performance. Results indicate that independent potential control enables operation closer to thermodynamic selectivity limits, with the potential to suppress impurity oxidation …