Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Mechanical Engineering (26)
- Civil and Environmental Engineering (17)
- Electrical and Computer Engineering (13)
- Chemical Engineering (10)
- Civil Engineering (10)
-
- Aerospace Engineering (5)
- Physical Sciences and Mathematics (5)
- Computer Engineering (4)
- Computer Sciences (4)
- Biomedical Engineering and Bioengineering (2)
- Environmental Engineering (1)
- Environmental Sciences (1)
- Geological Engineering (1)
- Natural Resource Economics (1)
- Natural Resources and Conservation (1)
- Nuclear Engineering (1)
- Other Environmental Sciences (1)
- Keyword
-
- Optimization (6)
- Machine Learning (5)
- Health (3)
- Learning (3)
- Machine learning (3)
-
- Parameters (3)
- Structural (3)
- Structural health monitoring (3)
- African-American (2)
- Algorithms (2)
- Alzheimer's disease (2)
- Artificial Intelligence (2)
- Automated (2)
- Automated Fiber Placement (2)
- Cell (2)
- Computational (2)
- Conversion (2)
- Deep Learning (2)
- Determination (2)
- Dispatch (2)
- Diversity (2)
- Economic (2)
- Education (2)
- Electrolysis (2)
- Elementary (2)
- Empirical (2)
- Energy (2)
- Engineering (2)
- Fiber (2)
- LIM (2)
- Publication
Articles 1 - 30 of 84
Full-Text Articles in Engineering
Harnessing Surrogate Modeling And Machine Learning For Management Of Water Resources And Environmental Systems, Mahdi Erfani
Harnessing Surrogate Modeling And Machine Learning For Management Of Water Resources And Environmental Systems, Mahdi Erfani
Theses and Dissertations
In a world characterized by increasing and more frequent climate extreme events, population growth, and limited opportunities for infrastructural expansion, the imperative for more efficient and resilient planning, design, and operation of water resources and environmental systems has never been more apparent. Moreover, the emergence of high-dimensional data and the demand for quick and informed decision-making have created a critical challenge for the operation and management of these systems. To address these issues effectively, the ability to rapidly grasp and accelerate the analysis of this data is paramount, and this necessitates the innovative use of machine learning and surrogate modeling …
Evaluation Of The Dynamic Response Of Gravelly Soil Under Different Drainage Conditions, Pressley Margaret Perry
Evaluation Of The Dynamic Response Of Gravelly Soil Under Different Drainage Conditions, Pressley Margaret Perry
Theses and Dissertations
Throughout history in the field of geotechnical earthquake engineering, there have been numerous experimental investigations on the dynamic behavior of soils. Many of these efforts have been focused on sand and silty sand material due to their susceptibility to liquefaction phenomena. However, gravelly soil material (i.e., soil in which gradation contains primarily gravel and sand) has exhibited this phenomenon in response to earthquake loading in many case histories. Therefore, it is important to extend the experimental assessment of gravelly soil material to develop a better understanding of the cyclic response and to support the development of numerical models. This study …
Insights Into Supported Metal Catalyst Sintering And Their Application For Bio-Oil And Crude Oil Upgradation, Md Fakhruddin Patwary
Insights Into Supported Metal Catalyst Sintering And Their Application For Bio-Oil And Crude Oil Upgradation, Md Fakhruddin Patwary
Theses and Dissertations
Typical heterogeneous catalysts consist of transition metal nanoparticles anchored against sintering on an inert, porous, high temperature stable support. The synthesis of supported catalyst involves pretreatment (drying, reduction) of deposited, ionic metal precursor complexes to form metal nanoparticles. In the first part of this work, we aim to understand the influence of pretreatment (reduction temperature, heating rate, moisture content) on final particle size. Supported nanoparticles of Pt and Pd were synthesized by strong electrostatic adsorption (SEA) and dry impregnation (DI). Reduced samples were characterized by in-situ and ex-situ XRD and STEM. The DI-derived samples generally showed an expected increase of …
Particle-Free High Spatial Resolution Velocimetry For Slip Flow Detection, Malhar Prasad Joshi
Particle-Free High Spatial Resolution Velocimetry For Slip Flow Detection, Malhar Prasad Joshi
Theses and Dissertations
Microfluidic systems have a wide range of applications, including biomedical devices, lab-on-a-chip technologies, and aerospace propulsion. Understanding and quantifying the slip flow phenomenon in these microscale and nanoscale channels is of paramount importance for precise control and optimization of fluidic processes. Our study presents a novel approach to directly measure the velocities in a microchannel using Laser Induced Fluorescence Photobleaching Anemometer (LIFPA) and Travel Time After Photobleaching Velocimetry (TTAPV). In this experimental study, microchannels with micrometer dimensions were used, and slip flow conditions controlled. The LIFPA-TTAPV approach was applied to measure slip velocities in the near wall regime, providing accurate …
Polybenzimidazole Membranes For Electrochemical Applications With Harsh Operating Conditions, Kris Likit-Anurak
Polybenzimidazole Membranes For Electrochemical Applications With Harsh Operating Conditions, Kris Likit-Anurak
Theses and Dissertations
Polybenzimidazole (PBI) membranes are high temperature proton exchange membranes (PEMs) which have advantages such as being able to operate in high temperatures, strong acid environments, and have no need for external humidity during operation. PBI membranes have been demonstrated to work effectively in multiple electrochemical devices, including fuel cells, hydrogen separation pumps, redox flow batteries, and a hybrid sulfur electrolyzer. In this work, para-PBI and densified para-PBI membrane have been used to improve electrochemical performance in harsh operating conditions that are both high temperature (≥120 ̊C) and high acid concentration (≥ 5M). First, we demonstrated the use of para-PBI membranes …
Probabilistic Cable Aging Diagnosis And Prognosis With Reflectometry And Capacitance Methods, Xuan Wang
Probabilistic Cable Aging Diagnosis And Prognosis With Reflectometry And Capacitance Methods, Xuan Wang
Theses and Dissertations
Safe and reliable operation of power plants and power transmission are critical to economy and society. Cables in power generation and transmission are subject to various thermal, chemical, and mechanical stresses, which generally lead to aging and degradation of cable insulation. It is reported that some cables with a projected lifetime of 40 years need to be replaced in 10-15 years. Poorly maintained aged cables can adversely affect power delivery and lead to catastrophic events, such as blackout, fires, and loss of lives. The current research on cable is mainly focused on the detection and localization of hard faults, which …
Engineering Hybrid Colloidal Systems Formed By Charge-Driven Assembly Between Spherical Soft Nanoparticles And Discotic Nanoplatelets, Gelareh Rezvan
Engineering Hybrid Colloidal Systems Formed By Charge-Driven Assembly Between Spherical Soft Nanoparticles And Discotic Nanoplatelets, Gelareh Rezvan
Theses and Dissertations
Soft matter, a fascinating class of materials, holds a paramount significance in the realm of material design and engineering. Within this broad category, colloidal gels with their unique characteristics have drawn tremendous attention in a variety of applications, spanning from biomedical engineering to oil and gas recovery. Meeting the specific requirements and criteria of these diverse fields necessitates the development of colloidal gels with highly tunable properties to optimize their performance for a wide range of applications. Hence, both scientific and industrial advancement call for more control over the gel properties by exploring novel practical parameters. This dissertation describes an …
Circularly-Shifted Chirps For Triple Functionality: Communications, Radar, And Computation, Safi Shams Muhtasimul Hoque
Circularly-Shifted Chirps For Triple Functionality: Communications, Radar, And Computation, Safi Shams Muhtasimul Hoque
Theses and Dissertations
This dissertation presents circularly-shifted chirps (CSCs), synthesized within orthogonal frequency domain multiplexing (OFDM) framework, as a novel solution for integrating radar, communication, and computation functionalities to a wireless network. Firstly, {index modulation (IM)} with circularly-shifted chirps (CSCs) (CSC-IM) for dual-function radar and communication (DFRC) system is discussed. The proposed scheme encodes the information bits with the CSC indices and the phase-shift keying (PSK) symbols. It allows the receiver to exploit the frequency selectivity naturally in fading channels by combining IM and wideband CSCs. It also leverages the fact that a CSC is a constant-envelope signal to achieve a controllable peak-to-mean …
Synthesis And Characterization Of Electrode Materials Of Solid Oxide Cells For Energy Conversion And Storage, Haixia Li
Theses and Dissertations
Solid oxide cells (SOCs) can directly convert chemical energy to electricity in the fuel cell mode and store electricity to chemicals in the electrolysis mode. However, there are still critical barriers, such as energy efficiency and durability, for developing and commercializing SOCs. This dissertation aims to design electrode materials and optimize the cell fabrication process to address the critical barriers for SOCs in energy conversion and energy storage applications. Therefore, one primary focus of the dissertation is to develop robust fuel electrode material for solid oxide fuel cells (SOFCs) with improved sulfur tolerance. In addition, the design of novel fuel …
Design Of A Test Frame And Its Corresponding Test Methods For A Deployable Composite Boom, William Luther Montgomery
Design Of A Test Frame And Its Corresponding Test Methods For A Deployable Composite Boom, William Luther Montgomery
Theses and Dissertations
Deployable composite booms (DCB) are an advanced class of support beams growing in applications including solar collectors and solar sails. DCBs can be coiled or folded into a compact footprint and the ability to be deployed, and in some design, concepts redeployed, making them optimal components for aerospace where weight and volume are finite resources. DCBs are a cutting-edge technology that has yet to be perfected with a need for longer booms with increased stiffnesses to accommodate the latest proposed designs. Atomic-6 has proposed a 16-foot boom manufactured using an autoclave process which aims to reach the goal of producing …
Uav-Deployable Sensing Network For Rapid Structural Health Monitoring, Joud Satme
Uav-Deployable Sensing Network For Rapid Structural Health Monitoring, Joud Satme
Theses and Dissertations
Natural disasters and extreme weather events pose significant threats to the structural integrity and safety of civil and environmental infrastructure. In this context, Structural Health Monitoring (SHM) emerges as a pivotal discipline, intersecting engineering, technology, and disaster resilience. SHM's mission is to provide real-time, data-driven insights into the condition of critical infrastructure, encompassing bridges, buildings, dams, and transportation networks. These systems not only expedite assessment, but also wield substantial influence in mitigating catastrophic disasters. As the frequency and intensity of extreme weather conditions escalate due to climate change, the need for robust and proactive SHM strategies becomes increasingly apparent. Moreover, …
Uncertainty Quantification And Constraint Of Chemical Kinetic Mechanisms Based On Flow Reactor Experiments, Ana Victoria Kock
Uncertainty Quantification And Constraint Of Chemical Kinetic Mechanisms Based On Flow Reactor Experiments, Ana Victoria Kock
Theses and Dissertations
The chemical kinetic model is one of key sub-models for computational fluid dynamics (CFD) simulation for optimizing and designing various combustors/engines. Detailed chemical kinetic models can consist of hundreds of species and thousands of elementary reaction steps. Considering the complexity in these detailed chemical kinetic models, it is important to quantify and minimize the uncertainties in the kinetic parameters. The uncertainties in the kinetic models can then be compared to uncertainties tied to experimental measurements. This approach has been frequently applied for relatively simple combustion parameters (e.g., laminar flame speed, ignition delay time), however it has not been well utilized …
Robust Deep Learning Models For Multi-Label Image Classification In Limited And Free Annotation Scenarios, Rabab Ezzeldin Rabie Abdelfattah
Robust Deep Learning Models For Multi-Label Image Classification In Limited And Free Annotation Scenarios, Rabab Ezzeldin Rabie Abdelfattah
Theses and Dissertations
This proposal introduces various methods for tackling the challenge of multi-label image classification in different scenarios, including partial labels and free-annotation settings. Multi-label image classification is typically formulated as a partial-label learning problem because it can be expensive to annotate all labels in every training image. Existing partial-label learning approaches typically focus on annotating each training image with only a subset of its labels, including a special case of annotating only one positive label per image. To further alleviate the annotation burden and improve classifier performance, this proposal introduces a new partial-label setting where only a subset of training images …
Simulation-Based Optimization Of A Dc Microgrid: With Machine-Learning-Based Models And Hybrid Meta-Heuristic Algorithms, Tyler Van Deese
Simulation-Based Optimization Of A Dc Microgrid: With Machine-Learning-Based Models And Hybrid Meta-Heuristic Algorithms, Tyler Van Deese
Theses and Dissertations
The field of economic dispatch (ED) focuses on optimizing power flow in a power system to minimize costs. It has the potential to significantly enhance system effectiveness, and efficiency, and reduce operating costs. Various techniques have been employed to tackle this problem, each with its own strengths and weaknesses. One promising approach is simulation-based optimization (SBO), which allows for accurate modeling of system interactions and improved representation of expected results. However, SBO requires running numerous simulations to identify an optimal solution, and there is a possibility of not achieving the global optimum. This work aims to address these challenges using …
Rapid Prediction Of Phonon Density Of States By Graph Neural Network And High-Throughput Screening Of Candidate Substrates For Wide Bandgap Electronic Cooling, Mohammed Saif Ali Al-Fahdi
Rapid Prediction Of Phonon Density Of States By Graph Neural Network And High-Throughput Screening Of Candidate Substrates For Wide Bandgap Electronic Cooling, Mohammed Saif Ali Al-Fahdi
Theses and Dissertations
Machine learning has demonstrated superior performance in predicting vast materials properties. However, predicting a continuous material property such as phonon density of states (DOS) is more challenging for machine learning due to the inherent issues of data smoothing and sensitivity to peak positions. In this work, phonon DOS of 2,931 inorganic cubic structures with 63 unique elements from the Open Quantum Materials Database are calculated by high precision density functional theory (DFT). With these training data, we build an equivariant graph neural network (GNN) for total phonon DOS of crystalline materials that utilizes site positions and atomic species as input …
Heterogeneous Catalyst Design For Biomass Conversion, Dia Sahsah
Heterogeneous Catalyst Design For Biomass Conversion, Dia Sahsah
Theses and Dissertations
Catalytic upgrading of bio-based feedstocks to commodity chemicals and fuels is pivotal to a more sustainable, renewable, and environmentally benign chemical economy. However, due to the high oxygen content, high water solubility, excessive reactivity, and thermal instability, typical and well-developed catalytic material and reactor processes reliably utilized in conventional petrochemical industry are, in general, not suitable for the processing of biomass feedstocks. Therefore, the development of novel heterogeneous catalysts is necessary in order to design new high-performance catalytic reactor systems. However, rational catalyst design is a multifaceted problem, and a myriad of factors influencing the catalytic performance at the reactor …
Channel Morphology Of A Leaky Coastal Plain River: The Congaree River, Sc 1884-2022, William Nicholas Logan
Channel Morphology Of A Leaky Coastal Plain River: The Congaree River, Sc 1884-2022, William Nicholas Logan
Theses and Dissertations
Downstream changes in river planform can be associated with changes in geologic controls and often signal changes in channel geometry, bed slope, or bed material grain size. While previous studies documented downstream trends in channel geometry and planform for a variety of rivers, there is a gap in the literature on spatial and temporal trends in channel geometry on the fluvial part of Coastal Plain rivers, i.e., the not-tidally influenced part. The literature highlights the existence of crevasse splays in natural levees that allow floodplain inundation below bankfull conditions as unique feature of channels and floodplains in the Coastal Plain. …
Floodplain And In-Channel Sedimentation In The Bedrock Congaree River, Sc, Mahsa Ahmadpoor
Floodplain And In-Channel Sedimentation In The Bedrock Congaree River, Sc, Mahsa Ahmadpoor
Theses and Dissertations
The Congaree River planform is characterized by an abrupt increase in channel sinuosity in the downstream direction. Such a change is not typical of alluvial meandering rivers but has been observed in mixed bedrock-alluvial rivers. This motivated the first study of this dissertation, specifically designed to determine if the Congaree River is indeed a mixed bedrock-alluvial river in its low sinuosity (upstream) reach. To test this hypothesis, sonar-based measurements of channel bed and sublayer elevation were performed from Columbia to the Congaree River-Wateree River confluence. The sublayer is here defined as the first surface visible in the sonar measurements underneath …
Real-Time Edge Computing For Autonomous Systems, Junlin Ou
Real-Time Edge Computing For Autonomous Systems, Junlin Ou
Theses and Dissertations
This research presents systematic studies and algorithmic and hardware development to enable real-time edge computing for autonomous systems, in particular, for robot path planning and localization applications. First, a low-cost, indoor, multi-camera positioning system is proposed to localize ground robots using the ArUco marker. In this system, the normalized coordinates of the marker processed by OpenCV are utilized to calculate the camera coordinates. Data-driven models are developed to establish a mapping relationship between the camera coordinates and the world coordinates of the marker. Fifty data pairs of the camera and world coordinate systems within one camera view (150 pairs in …
Field And Laboratory Characterization Of Subgrade Resilient Modulus For The Aashtoware Pavement Me, Kazi Moninul Islam
Field And Laboratory Characterization Of Subgrade Resilient Modulus For The Aashtoware Pavement Me, Kazi Moninul Islam
Theses and Dissertations
The new Mechanistic-Empirical Pavement Design Guide (MEPDG) uses the subgrade resilient modulus (MR) as the key input parameter to represent the subgrade soil behavior for pavement design. This research focused on field and laboratory characterization of subgrade resilient modulus assessing the effects of predicted distresses and IRI on the flexible pavement. The results of this study are presented in the form of three chapters and peer-reviewed journal manuscripts. Firstly (Chapter 3), MR was obtained indirectly from Falling Weight Deflectometer (FWD) data using a back-calculation tool (i.e., SCDOT, BAKFAA, and AASHTOWare 2017) or from empirical correlations with soil index properties. MR …
Catalytic Hydrogenation Of Dimethyl Oxalate To Ethylene Glycol Using Silver Based Catalysts On Sba-15, Nicolas Edouard Gleason-Boure
Catalytic Hydrogenation Of Dimethyl Oxalate To Ethylene Glycol Using Silver Based Catalysts On Sba-15, Nicolas Edouard Gleason-Boure
Theses and Dissertations
Ethylene glycol (EG) is an important industrial chemical in the manufacturing of certain plastics. There is growing industrial interest in the production of dimethyl oxalate (DMO) from syngas, which can be hydrogenated to produce EG. Many studies have focused on the catalytic reduction of DMO using copper-based catalysts on silica supports, but fewer studies have been done on the effects of silver for this reaction. This work presents an in-depth study of silver catalysts prepared via various methods including incipient wetness impregnation, charge enhanced dry impregnation, and the use of various organic solvents. Reaction studies show that using pure methanol …
Novel Approach To In-Situ Mocvd Oxide/Dielectric Deposition For Iii-Nitride-Based Heterojunction Field Effect Transistors, Samiul Hasan
Novel Approach To In-Situ Mocvd Oxide/Dielectric Deposition For Iii-Nitride-Based Heterojunction Field Effect Transistors, Samiul Hasan
Theses and Dissertations
III-Nitride-based compound semiconductors have unique properties such as high bandgap and high breakdown field, which make them attractive for a variety of applications, including high-power and high-frequency electronics and optoelectronics. The most common types of III-Nitride-based field effect transistors (FETs) are aluminum gallium nitride (AlGaN)/gallium nitride (GaN) based, which suffer from some inherent problems such as virtual gate effect, current collapse, gate leakage, etc. The solution to this problem can be the inclusion of a dielectric passivation layer under the gate. However, the addition of the dielectric layer impacts one of the most critical device-controlling parameters, “threshold voltage”, which suffers …
Structure Property Performance Of Ti3c2 Mxene/Polyelectrolyte Hybrids For Electronic And Electromagnetic Applications, Farivash Gholamirad
Structure Property Performance Of Ti3c2 Mxene/Polyelectrolyte Hybrids For Electronic And Electromagnetic Applications, Farivash Gholamirad
Theses and Dissertations
Hybrid materials based on transition metal carbide MXene (Ti3C2Tx) nanosheets have great potential for electronic, electromagnetic interference (EMI) shielding, and environmental applications due to the unique combination of considerable electrical conductivity of 4000 to 15000 S.cm-1, abundant surface functional groups (OH, O, F, Cl), and suitable mechanical properties. However, the performance of final products depends not only on the properties of constituent components but also on the morphology of the assembly. The strong repulsive electrical double layer forces among MXene nanosheets make control over their assembly morphology and final properties challenging. To address this challenge, this dissertation focuses on applying …
Investigation Of Discrepancies In South Carolina Traffic Collision Forms, Jackson Wegmet
Investigation Of Discrepancies In South Carolina Traffic Collision Forms, Jackson Wegmet
Theses and Dissertations
The aim of this thesis is to improve the accuracy of information recorded in the South Carolina traffic collision forms. To accomplish this, it examines 200 forms containing information about fatal crashes in work zones between 2014 and 2020 to determine how many discrepancies exist between the written narrative and other fields. In addition to obtaining these statistics, this thesis seeks to identify factors that influence discrepancies. To test the hypothesis that crash complexity and weather influence the investigating officer’s level of processing (a theory developed by Craik and Lockhart in 1972), and consequentially his/her ability to complete the traffic …
Leveraging Inflammatory Responses Toward Advancing Alzheimer’S Disease Treatments And Biomaterial Implantation, Mihyun Lim Waugh
Leveraging Inflammatory Responses Toward Advancing Alzheimer’S Disease Treatments And Biomaterial Implantation, Mihyun Lim Waugh
Theses and Dissertations
Inflammation is a body’s physiological response to pathogens, foreign materials, or tissue injury. When immune system is triggered, activated leukocytes produce cytokines and chemokines that promote migration of neutrophils and macrophages to the inflammatory regions. At early stages of injury, acute inflammation occurs immediately to fight off the pathogens and restore tissues to homeostasis. However, if the inflammation-inducing stimulus is not removed and thus cells and tissues do not return to its homeostatic state, the prolonged inflammatory responses become a chronic condition. Recent studies have indicated that the receptor for advanced glycation end-products (RAGE), a key receptor of innate immune …
Elastic Sensing Skin For Monitoring Of Concrete Structures, Emmanuel Abiodun Ogunniyi
Elastic Sensing Skin For Monitoring Of Concrete Structures, Emmanuel Abiodun Ogunniyi
Theses and Dissertations
Soft elastomeric capacitors (SECs) are emerging as potential low-cost solutions for monitoring cracks and strains in concrete infrastructure, a crucial aspect of structural health monitoring. Effective long-term monitoring of civil infrastructure can reduce the risk of structural failures and potentially reduce the cost and frequency of inspections. However, deploying structural health monitoring (SHM) technologies for bridge monitoring is expensive, especially long-term, due to the density of sensors required to detect, localize, and quantify cracks. Previous research on soft elastomeric capacitors (SEC) has shown their viability for low-cost monitoring of cracks in transportation infrastructure. However, when deployed on concrete for strain …
Understanding The Corrosion And Discharge Behaviour Of Zinc Anodes In Primary Alkaline Batteries, Brian James Lenhart
Understanding The Corrosion And Discharge Behaviour Of Zinc Anodes In Primary Alkaline Batteries, Brian James Lenhart
Theses and Dissertations
Primary zinc alkaline batteries power a wide array of everyday use electronic devices such as remote controls, calculators, cameras, and flashlights and will own an appreciable share of the battery market for the foreseeable future. Primary alkaline batteries generally utilize carbon, gas diffusion air, or manganese dioxide cathode but always coupled with a slurry zinc anode. There are several issues with this primary alkaline platform, largely emphasized by the performance of the zinc anode, such as a gassing phenomenon which leads to battery rupture and under certain circumstances, low material utilization leading to low energy density. The gassing and material …
Water Quality Monitoring And Mapping Using Rapidly Deployable Sensor Nodes, Mohamed Abdelwahab
Water Quality Monitoring And Mapping Using Rapidly Deployable Sensor Nodes, Mohamed Abdelwahab
Theses and Dissertations
Efficient and continuous monitoring of water quality parameters plays a pivotal role in responding to pollution incidents and ensuring the safety of both human consumption and ecological resources. This research introduces an affordable and dependable in-situ water quality sensor package designed for seamless continuous monitoring, providing essential data to facilitate informed decision-making in water resource management. The sensor package enables comprehensive on-site assessment of key water characteristics, including pH, temperature, turbidity (measured in NTU), and total dissolved solids (TDS, measured in ppm). Spatial interpolation techniques, specifically Kriging, are employed to extrapolate variable values at unobserved locations based on nearby measurements. …
Electric Freight Transportation System Planning And Truck Operation Optimizations, Xuanke Wu
Electric Freight Transportation System Planning And Truck Operation Optimizations, Xuanke Wu
Theses and Dissertations
The substantial demand for fossil fuel consumption is a significant contributor to greenhouse gas emissions, drawing considerable public attention to health and environmental problems. As a result, vehicle electrification is currently recognized as the most effective approach to reduce CO2 emissions from transportation. However, compared to traditional fossil fuel-powered vehicles, electric vehicles have notable disadvantages, including higher upfront purchasing price, longer recharging time, and most significantly, lower driving ranges. All these challenges can potentially result in increased overall operational costs for logistics companies. This thesis proposes a comprehensive optimization modeling framework for electric freight transportation system planning and operations with …
Design And Fabrication Of High-Resolution Epitaxial 4h-Sic Metal Insulator Semiconductor Detectors, Omerfaruk Karadavut
Design And Fabrication Of High-Resolution Epitaxial 4h-Sic Metal Insulator Semiconductor Detectors, Omerfaruk Karadavut
Theses and Dissertations
In the last two decades, significant strides have been made in the epitaxial film growth of 4H-silicon carbide (4H-SiC), establishing it as a premier wide bandgap material for radiation detection application under harsh environments. This is primarily attributed to its unique combination of physical properties such as high thermal conductivity, wide bandgap, robust breakdown field, and radiation hardness. Metal/4H-SiC epitaxial layer Schottky barrier diodes (SBDs) have emerged as reliable radiation detectors for harsh environments. However, the utilization of thicker epitaxial layer devices encounters challenges due to the minimum achievable doping concentration in 4H-SiC epitaxial layers, necessitating higher bias voltages for …