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Advances In Particle-Reinforced High-Entropy Alloys: Preparation, Particle Characterization, Properties, And Prospects, Yu Zhuo Bai, Bai Xin Dong, Hong Yu Yang, Feng Qiu, Shi Li Shu, Qi Chuan Jiang, Liang Yu Chen, Lai Chang Zhang Sep 2026

Advances In Particle-Reinforced High-Entropy Alloys: Preparation, Particle Characterization, Properties, And Prospects, Yu Zhuo Bai, Bai Xin Dong, Hong Yu Yang, Feng Qiu, Shi Li Shu, Qi Chuan Jiang, Liang Yu Chen, Lai Chang Zhang

Research outputs 2022 to 2026

High-entropy alloys (HEAs) have received substantial attention due to their unique multi-element chemistry and excellent combination of properties, but further enhancement in properties is often required for demanding applications. Particle reinforcement has emerged as a promising approach to strengthen HEAs and tailor their behavior. This article provides a comprehensive overview of the recent progress in particle-reinforced HEAs, covering in-situ precipitation of particles and ex-situ introduction of reinforcements. It reviews a range of synthesis strategies including powder metallurgy and laser-based additive manufacturing. This article also compares their effectiveness in controlling microstructure, particle dispersion, densification, and scalability. The effects of various reinforcement …

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Application Of Tailings From Aluminium, Copper, And Iron Extraction As Asphalt Mixture Materials: A Review, Daniel Oguntayo, Temitope Awolusi, Samuel Gboyega Arowolo, Paul Terkumbur Adeke Sep 2026

Application Of Tailings From Aluminium, Copper, And Iron Extraction As Asphalt Mixture Materials: A Review, Daniel Oguntayo, Temitope Awolusi, Samuel Gboyega Arowolo, Paul Terkumbur Adeke

Research outputs 2022 to 2026

The increasing global demand for pavement infrastructure has intensified the consumption of non-renewable construction materials, particularly natural aggregates and soils, raising significant environmental and resource sustainability concerns. In response, there is a growing need to explore alternative materials that can reduce reliance on these finite resources. Mine tailings, generated in large volumes from mining operations, have emerged as a promising substitute due to their potential to enhance asphalt concrete performance while mitigating environmental impacts associated with their disposal. This study presents a comprehensive review of the application of selected mine tailings in asphalt mixtures. It critically examines their physicochemical properties …

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Synthesis Of Fe-Doped Porous Carbon Catalyst Derived From Coconut Shell Waste Using Ferric Nitrate Nonahydrate (Fe(No3)3.9h2o) As An Iron Precursor, Ilham Lestadi Putra, Sukarni Sukarni, Heru Suryanto Sep 2026

Synthesis Of Fe-Doped Porous Carbon Catalyst Derived From Coconut Shell Waste Using Ferric Nitrate Nonahydrate (Fe(No3)3.9h2o) As An Iron Precursor, Ilham Lestadi Putra, Sukarni Sukarni, Heru Suryanto

Journal of Mechanical Engineering Science and Technology (JMEST)

Renewable energy from lignocellulosic biomass is a promising alternative to fossil fuels. Coconut shell (CS) waste is a favorable precursor for porous carbon due to its high carbon content, abundance, and non-food nature. However, conventional biochar often has limited surface area and catalytic active sites, hindering its effectiveness as a catalyst. While Fe-based modifications are promising, the use of ferric nitrate-assisted activation of coconut-shell-derived porous carbon remains underexplored. This research focused on developing an Fe-doped porous carbon catalyst from CS via ultrasound-assisted impregnation, followed by activation in a tube furnace. CS biochar was produced through pyrolysis at 550 °C and …

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Optimization-Based Energy Management Of A Standalone Hybrid Power Plant Using A Hybrid Iheo–Pso Metaheuristic Framework, Muhammad Zeeshan Tariq, Asma Aziz, Barun K. Das Sep 2026

Optimization-Based Energy Management Of A Standalone Hybrid Power Plant Using A Hybrid Iheo–Pso Metaheuristic Framework, Muhammad Zeeshan Tariq, Asma Aziz, Barun K. Das

Research outputs 2022 to 2026

The current study combines solar photovoltaic (PV) power, energy storage batteries and wind power to propose a novel and effective method for energy management and optimisation of hybrid renewable energy systems. Optimising the management and coordination of many energy sources is becoming essential, as the world moves towards sustainable energy choices. This study seeks to improve system performance, reliability and operating costs, using a unique hybrid control and power management paradigm, the Improved Human Evolutionary Optimisation (IHEO) algorithm, presented as a novel optimisation method that balances energy flow, generation, storage and consumption. This study shows that the proposed model greatly …

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Microbial Risk Assessment And Mitigation For Underground Hydrogen Energy Storage In Salt Caverns: A Multidisciplinary Investigation, Adnan Aftab, Silvia J. Salgar Chaparro, Muhammad Ali, Quan Xie, Ali Saeedi, Alireza Keshavarz, Mohammad Sarmadivaleh Sep 2026

Microbial Risk Assessment And Mitigation For Underground Hydrogen Energy Storage In Salt Caverns: A Multidisciplinary Investigation, Adnan Aftab, Silvia J. Salgar Chaparro, Muhammad Ali, Quan Xie, Ali Saeedi, Alireza Keshavarz, Mohammad Sarmadivaleh

Research outputs 2022 to 2026

Underground hydrogen storage (UHS) in salt caverns is a promising solution for large-scale renewable energy storage, but its long-term stability may be compromised by hydrogenotrophic microorganisms such as sulphate-reducing bacteria (SRB). This study integrates global salt basin analysis, numerical modelling, and laboratory experiments to assess microbial risks associated with the hydrogen storage. We evaluated salt deposits across six continents, reviewed microbial communities in seawater sources commonly used for the leaching, and simulated SRB behaviour under varying hydrogen concentrations. Experiments using both commercial SRB strains and indigenous consortia from Western Australia revealed minimal microbial activity under hypersaline, low-carbon conditions. These findings …

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Thermal Management Of Heat Sinks Equipped With Internal Cooling Mechanism: A Comparison With Advanced Heat Dissipation Techniques, Saif Ullah Khalid, Muhammad Ali Nasir, Mehmet Karahan, Muhammad Saleem Khan, Furqan Jamil Sep 2026

Thermal Management Of Heat Sinks Equipped With Internal Cooling Mechanism: A Comparison With Advanced Heat Dissipation Techniques, Saif Ullah Khalid, Muhammad Ali Nasir, Mehmet Karahan, Muhammad Saleem Khan, Furqan Jamil

Research outputs 2022 to 2026

Thermal management devices aim to remove extra heat from heat generation devices. There are numerous ways of heat rejection from the source, including active and passive cooling. The cooling techniques may be natural or forced, and the popular tools are heat pipes, heat sinks, and heat exchangers. In this piece of literature, several heat pipe and heat sink configurations are tested, including a novel internally cooled configuration using mono and hybrid nanofluids. Among heat sinks, solid finned and hollow finned configurations are mainly compared with the state-of-the-art heat pipes and thermal management systems for broader comparisons. Solid cylindrical fins are …

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Which Factors Are Most Important For Understanding Neighborhood-Scale Electrification Transitions In New York City, And How Do These Factors Interact Within Urban Energy Systems?, Aaryan Nair Sep 2026

Which Factors Are Most Important For Understanding Neighborhood-Scale Electrification Transitions In New York City, And How Do These Factors Interact Within Urban Energy Systems?, Aaryan Nair

Publications and Research

Building electrification has emerged as a central strategy for reducing greenhouse gas emissions from urban areas, yet its implementation remains uneven across cities due to differences in buildings, infrastructure, and local conditions. This literature review examines the factors that influence neighborhood-scale electrification transitions in New York City and explores how these factors interact within urban energy systems. Drawing on research from building science, energy systems, infrastructure planning, and sustainability transitions, the paper identifies five recurring categories of influence: building characteristics, demand characteristics, infrastructure conditions, planning and investment capacity, and socioeconomic conditions. The review finds that building age, typology, density, and …

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Msmgoptimizer: An Open-Source R Package And Web Application For Streamlining Life Cycle Inventory Data Automation In Life Cycle Assessment, Philip Duah, Kwame Awuah-Offei Sep 2026

Msmgoptimizer: An Open-Source R Package And Web Application For Streamlining Life Cycle Inventory Data Automation In Life Cycle Assessment, Philip Duah, Kwame Awuah-Offei

Mining Engineering Faculty Research & Creative Works

Life Cycle Inventory (LCI) compilation is indispensable in any Life Cycle Assessment (LCA) study, yet the preparation of inventory data for import into LCA software remains one of the most time‑consuming and error‑prone steps in the LCA workflow. LCI datasets frequently originate from multiple data sources and formats, necessitating automation tools that can optimize inventory data for direct use in LCA modeling platforms. SimaPro, the world's leading LCA modeling platform, for example, requires inventory data to be structured according to a proprietary CSV specification that is labour-intensive to prepare manually. Existing tools remain largely inaccessible to most researchers due to …

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Review: Advancements In Fibrous Aerosol Filtration Across Experimental Analysis, Numerical Modeling, And Fabrication Technologies, Mirza Muhammad Zaid, Ashish Ranjan Kumar, Ashish Kakoria, Lina Zheng, Guang Xu Sep 2026

Review: Advancements In Fibrous Aerosol Filtration Across Experimental Analysis, Numerical Modeling, And Fabrication Technologies, Mirza Muhammad Zaid, Ashish Ranjan Kumar, Ashish Kakoria, Lina Zheng, Guang Xu

Mining Engineering Faculty Research & Creative Works

The increasing incidence of aerosol-related pulmonary diseases has intensified the need for efficient fibrous filtration technologies capable of capturing ultrafine particles with low pressure drop. Although nonwoven fibrous filters are widely used in medical, industrial, and ventilation systems, their complex internal structures and multiscale transport mechanisms remain insufficiently understood. This review examines the theoretical foundations of aerosol filtration, including single-fiber capture mechanisms and the concept of the most penetrating particle size. In addition, electrostatic interactions, including charge generation, transport, and stability, are incorporated to extend conventional mechanical filtration frameworks. Particular attention is given to flow–particle interactions within fibrous media. We …

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Benchmarking Zero-Shot Open-Vocabulary And Fine-Tuned Object Detectors For Underground Mine Personnel Detection, Ellen Essien, Samuel Frimpong Sep 2026

Benchmarking Zero-Shot Open-Vocabulary And Fine-Tuned Object Detectors For Underground Mine Personnel Detection, Ellen Essien, Samuel Frimpong

Mining Engineering Faculty Research & Creative Works

Reliable personnel detection is critical for the safe deployment of autonomous haulage systems in underground mining, where challenging environmental conditions demand robust real-time perception. Existing research has focused primarily on fine-tuned convolutional detectors, while systematic comparisons with zero-shot vision-language models remain limited. This study presents a cross-paradigm benchmark comparing four zero-shot vision-language models (YOLO-World, Grounding DINO, OWL-ViT, and OWLv2) with four fine-tuned YOLO detectors (YOLOv8s, YOLOv9s, YOLO11s, and YOLO26s) using 31,396 real-world underground coal mine images. Detection performance was evaluated using precision, recall, F1-score, average precision, inference speed, and condition- and target scale-specific recall. The experimental results show that the …

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Automated Haulage Trucks: Impact On Workplace Safety And Efficiency In Surface Mining Systems, Samuel Frimpong, Mabel Obosu Sep 2026

Automated Haulage Trucks: Impact On Workplace Safety And Efficiency In Surface Mining Systems, Samuel Frimpong, Mabel Obosu

Mining Engineering Faculty Research & Creative Works

The mining industry continues to face significant safety challenges, particularly with powered haulage equipment (PHE). PHE incidents account for a substantial percentage of mining-related fatalities, often resulting from vehicle collisions, equipment rollovers, operator errors, and blind-spot hazards. Despite the industry's efforts to improve safety protocols, fatal accidents involving haulage trucks remain persistent. The mining industry has increasingly adopted automation to enhance operational efficiency and improve safety, particularly in surface mines where haulage truck accidents remain a critical concern. Automation has significantly reduced human exposure to hazardous tasks by removing operators from dangerous environments, thereby mitigating risks associated with human error …

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Geometric And Operational Design Principles For Autonomous Haulage Systems In Open-Pit Mining: A Systematic Review, Justina Senam Lotsu, Samuel Frimpong, Muhammad Azeem Raza Sep 2026

Geometric And Operational Design Principles For Autonomous Haulage Systems In Open-Pit Mining: A Systematic Review, Justina Senam Lotsu, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

The rapid deployment of autonomous haulage systems (AHSs) in open-pit mining has significantly altered haul road geometric design requirements, as autonomous trucks operate under strict kinematic constraints related to turning radius, gradient, and braking performance. Since haulage accounts for 50–60% of total mining costs, optimizing haul road geometry is critical for improving operational efficiency, energy consumption, and safety. This study presents a systematic review of 50 highly relevant studies selected from 81 candidate publications published between 2003 and 2025 through structured database searches and citation chaining. The review synthesizes current developments in haul road layout optimization, turning radius accommodation, gradient …

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Individualized Bayesian Inference Identifies Novel Genetic Variants For Parkinson's Disease, Jin Ren, Yasaman J. Soofi, Md Asad Rahman, Qing Lu, Jinling Liu Sep 2026

Individualized Bayesian Inference Identifies Novel Genetic Variants For Parkinson's Disease, Jin Ren, Yasaman J. Soofi, Md Asad Rahman, Qing Lu, Jinling Liu

Engineering Management and Systems Engineering Faculty Research & Creative Works

Parkinson's disease (PD) is a complex neurodegenerative disorder with a significant genetic component. While genome-wide association studies (GWAS) have been instrumental in identifying genetic variants associated with PD, the reliance on large sample sizes and population-level analyses may overlook variants with lower minor allele frequencies or individual-specific relevance. Individualized Bayesian Inference (IBI) offers a promising method to complement GWAS by identifying and prioritizing candidate genetic markers at both the individual and patients-like-me subgroup levels. This study evaluates the application of IBI to PD genetics, using GWAS as a baseline for comparison. We analyzed genetic data from the Fox Insight online …

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Assessment Of Muscular Activities And Working Postures During Common Maintenance Operations On The Ronnie Baugh Tractor (Oggun Ii), John Geoffrey T. Edrozo, John Kenneth P. Punongbayan, Josefa Angelie D. Revilla, Diana Marie R. De Silva Sep 2026

Assessment Of Muscular Activities And Working Postures During Common Maintenance Operations On The Ronnie Baugh Tractor (Oggun Ii), John Geoffrey T. Edrozo, John Kenneth P. Punongbayan, Josefa Angelie D. Revilla, Diana Marie R. De Silva

The Philippine Agricultural Scientist

Maintenance activities are among the highest-risk occupations, with hazards arising from machinery repair, task design, and workload demands, underscoring the need for ergonomic interventions to mitigate these risks. The recent introduction of the Ronnie Baugh Tractor (RBT) offers a cost-effective alternative to traditional tractors, but limited knowledge of its design highlights the need for rigorous testing to ensure its safety and effectiveness in farm operations. This study evaluated the muscular and postural workload associated with common maintenance tasks in operating the RBT. Thirteen (13) male participants performed 4 maintenance tasks: engine oil replacement, engine oil filter replacement, pre-start-up checks, and …

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Borders And Bids: Assessing How Competition In Transportation Projects Is Shaped By The Presence Of Out-Of-State Contractors, Mariam Elazhary, Islam H. El-Adaway Sep 2026

Borders And Bids: Assessing How Competition In Transportation Projects Is Shaped By The Presence Of Out-Of-State Contractors, Mariam Elazhary, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Competitive bidding in transportation construction is vital for securing better value for money and higher-quality proposals. Prior research has attempted to encourage more competition by proposing novel delivery methods, contractual incentives, or alternative bidder profiles. However, one viable bidder profile, which has received limited attention in the literature, is to encourage cross-border participation to expand the pool of qualified firms and thereby increase competition. While, in theory, this may improve economic efficiency, the inclusion of more out-of-state contractors (OSCs) is not costless. The goal of this paper is to assess whether participation by OSCs is associated with strengthening competition in …

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Data-Driven Analysis For Managing Causes Of Disputes In Nuclear Power Plant Construction Projects, Mahmoud S. Mansour, Islam H. El-Adaway Sep 2026

Data-Driven Analysis For Managing Causes Of Disputes In Nuclear Power Plant Construction Projects, Mahmoud S. Mansour, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Nuclear energy remains a key element of the energy mix in the United States (US) and other parts of the world, with renewed and increased interest in recent years, driven by rising energy demand across various sectors. This is due to its capabilities of generating a vast amount of reliable and carbon-free electricity, which are crucial advantages as compared to other energy sources. However, nuclear power plant (NPP) projects involve unique risks and complexities that have long hindered their progress and shaped dispute dynamics differently from other construction sectors. Despite extensive research on construction disputes, there is a lack of …

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Sustainable Critical Minerals: Mining, Production, And Legacy, Joel G. Burken, Heileen Hsu-Kim, Mariam Al-Lami, Hunter W. Schroer, Scott Banta, Om Parkash Dhankher, Kwame Awuah-Offei, Lana Alagha Sep 2026

Sustainable Critical Minerals: Mining, Production, And Legacy, Joel G. Burken, Heileen Hsu-Kim, Mariam Al-Lami, Hunter W. Schroer, Scott Banta, Om Parkash Dhankher, Kwame Awuah-Offei, Lana Alagha

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

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Evolution Of Raman And Photoluminescence Response In Molybdenum Disulfide Thin Films Deposited Via Thermal Atomic Layer Deposition, Wesley Jen, John D. Hues, Icelene Leong, Nolan H. Olaso, Ravindra K. Kanjolia, Mansour Moinpour, Steven M. Hues, Elton Graugnard Sep 2026

Evolution Of Raman And Photoluminescence Response In Molybdenum Disulfide Thin Films Deposited Via Thermal Atomic Layer Deposition, Wesley Jen, John D. Hues, Icelene Leong, Nolan H. Olaso, Ravindra K. Kanjolia, Mansour Moinpour, Steven M. Hues, Elton Graugnard

Boise State University Publications and Presentations

In order to enable further advances in microelectronics, new processes capable of precisely depositing films are required. This is especially true of processes meant for depositing two-dimensional (2D) transition metal dichalcogenides, such as MoS2, a material of particular interest due to its high potential mobility even at a thickness of a few atoms. In this work, we report industry-compatible processes for depositing crystalline MoS2 with a high degree of precision. We demonstrate the successful conversion of both MoOx and MoSx films deposited via thermal atomic layer deposition using bis(tert-butylimido)bis(dimethylamino)Mo(VI) and H2O or H2S, respectively, into crystalline MoS2 films after an …

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Isolating Human Monocytes And Characterizing Human Macrophage Polarization Through Flow Cytometry And Morphological Analysis, Arthur Peter Klujian Sep 2026

Isolating Human Monocytes And Characterizing Human Macrophage Polarization Through Flow Cytometry And Morphological Analysis, Arthur Peter Klujian

Biomedical Engineering

Peripheral Artery Occlusive Disease (PAOD) is a cardiovascular disease that affects more than 200 million people. It is characterized by atherosclerosis, a biologic process where peripheral arteries are restricted due to a buildup in cholesterol and fats. This eventually leads to ischemia, developing complications such as chronic inflammation and possible limb amputation. The current standard of care for patients includes surgical revascularization and exercise therapy. These treatment strategies have had limited success with alleviating symptoms and restoring perfusion, however, many patients still experience ischemia and do not fully restore blood flow. Further exploration in pursuit of treating these shortcomings led …

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Homotopy-Safe Trajectory Planning And Attack Detection For Low-Altitude Uav Under False Map Information Injection Attacks, Chen Li, Qi, Juntao Zhao, Xin Yuan, Kai Wu, Wei Ni, Ren Ping Liu Sep 2026

Homotopy-Safe Trajectory Planning And Attack Detection For Low-Altitude Uav Under False Map Information Injection Attacks, Chen Li, Qi, Juntao Zhao, Xin Yuan, Kai Wu, Wei Ni, Ren Ping Liu

Research outputs 2022 to 2026

Low-altitude unmanned aerial vehicles (UAVs) have been extensively deployed in logistics support, surveillance, and disaster relief. However, their open communication networks and inherently vulnerable navigation systems render them susceptible to false map information injection attacks (FMIIA). To effectively mitigate the impact of FMIIA, this paper presents a UAV local flight trajectory optimization framework that integrates a robust attack detection method based on initial excitation (IE) and an efficient local path reconstruction approach utilizing the Marden theorem. First, an IE-based adaptive robust observer is formulated, where IE enhances the observability of the system's input-output responses, enabling joint estimation of the UAV's …

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Electrification Of Australian Remote Communities Through Degradation-Aware Techno-Economic And Environmental Optimization Of Sustainable Vehicle-To-Home Enabled Hybrid Renewable Energy Systems, Tushar Kanti Roy, Barun K. Das, Md Apel Mahmud Sep 2026

Electrification Of Australian Remote Communities Through Degradation-Aware Techno-Economic And Environmental Optimization Of Sustainable Vehicle-To-Home Enabled Hybrid Renewable Energy Systems, Tushar Kanti Roy, Barun K. Das, Md Apel Mahmud

Research outputs 2022 to 2026

The integration of hybrid renewable energy systems (HRES) with vehicle-to-home (V2H) capabilities presents a promising pathway to achieve sustainable electrification in remote communities. This work presents an innovative energy management system (EMS) in which a multi-objective optimization problem is formulated to simultaneously minimize net present cost (NPC), lifecycle CO2 emissions, and loss of power supply probability (LPSP). Three configuration-specific objective functions are proposed where these configurations include (i) off-grid photovoltaic (PV)–wind turbine (WT)–battery energy storage system (BESS)–diesel generator (DG), (ii) on-grid PV–WT–BESS–Grid, and (iii) off-grid PV–WT–BESS–DG with V2H. The EMS integrates mixed-integer linear programming (MILP) for degradation-aware deterministic dispatch, sequential …

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Thermal And Electrical Properties Of (Cr,Mo,Ta,V,W)C High-Entropy Carbide Ceramics, Ali Sarikhani, Steven M. Smith, Suzana Filipovic, William G. Fahrenholtz, Gregory E. Hilmas Sep 2026

Thermal And Electrical Properties Of (Cr,Mo,Ta,V,W)C High-Entropy Carbide Ceramics, Ali Sarikhani, Steven M. Smith, Suzana Filipovic, William G. Fahrenholtz, Gregory E. Hilmas

Materials Science and Engineering Faculty Research & Creative Works

The synthesis and characterization along with the resulting properties of fully dense (Cr,Mo,Ta,V,W)C high entropy carbide ceramics were studied. The ceramics were synthesized from metal oxide and carbon powders by carbothermal reduction, followed by spark plasma sintering at various temperatures for densification. Increasing the densification temperature resulted in grain growth and an increase in the lattice parameter. Thermal diffusivity increased linearly with testing temperature, resulting in thermal conductivity values ranging from ∼7 W/m•K at room temperature to ∼12 W/m•K at 200 °C. Measured heat capacity values matched theoretical estimates calculated using the Neumann-Kopp rule. Room temperature electrical resistivity decreased from …

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The Role Of Mxene In The Process Of Sintering Hpcs To Ceramic, Jianyu Dai, Congjie Wei, Jeremy Watts, Chenglin Wu Sep 2026

The Role Of Mxene In The Process Of Sintering Hpcs To Ceramic, Jianyu Dai, Congjie Wei, Jeremy Watts, Chenglin Wu

Materials Science and Engineering Faculty Research & Creative Works

This work presents a detailed investigation of the pyrolysis and sintering processes of hydridopolycarbosilane (HPCS) polymers, focusing on the formation of β-silicon carbide (β-SiC) and the influence of Ti3C2–Ox in this process. Due to the computational limitations of density functional theory (DFT), molecular dynamics methods with appropriate potentials are necessary for simulating large-scale systems, however, the available potentials are limited when the modeling process evolves relatively more element types or complex chemical-mechanical processes are studied. In this work, a machine learning based MACE (Multi-body ACE) model is adopted and trained to accurately capture the polymer's transformation …

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Manufacturing Routes For Oxide Dispersion Strengthened Alloys, Ertugrul Demir, Seung Min Ha, Alexander Killips, Guan Cheng Chen, Yitian Chi, Dileepa Maddumage, Dalong Zhang, Xiaochun Li, Haiming Wen, Enrique Lavernia Sep 2026

Manufacturing Routes For Oxide Dispersion Strengthened Alloys, Ertugrul Demir, Seung Min Ha, Alexander Killips, Guan Cheng Chen, Yitian Chi, Dileepa Maddumage, Dalong Zhang, Xiaochun Li, Haiming Wen, Enrique Lavernia

Materials Science and Engineering Faculty Research & Creative Works

Oxide dispersion strengthened alloys are promising structural materials for high temperature, irradiation, and mechanically demanding environments because their performance depends on fine and stable oxide dispersoids distributed within a metallic matrix. However, reliable fabrication remains challenging because precursor oxide nanoparticles or oxide forming species must be transformed into stable oxide dispersoids without excessive agglomeration, coarsening, contamination, or loss during processing. This review critically compares powder metallurgy, additive manufacturing, and liquid metallurgy routes for ODS alloy fabrication, with emphasis on oxide evolution, microstructure control, mechanical performance, scalability, and industrial maturity. Powder metallurgy remains the most reliable route for producing fine and …

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Identifying Influential Drivers To The Utilization Of Prefabrication On Student Housing At Cal Poly: A Case Study On The Delivery Method, Dominique Giang Sep 2026

Identifying Influential Drivers To The Utilization Of Prefabrication On Student Housing At Cal Poly: A Case Study On The Delivery Method, Dominique Giang

Construction Management

As universities experience increasing enrollment and housing shortages, student housing projects require efficient delivery methods capable of meeting strict occupancy deadlines while minimizing disruption to active campus environments. This research investigates the influential drivers behind the utilization of prefabrication on an ongoing student housing project at California Polytechnic State University, San Luis Obispo. The seven-story project consists of 417 student beds and incorporates repetitive layouts and prefabricated building components. Through qualitative interviews with key project stakeholders involved in early decision-making and field execution, the study examines how project objectives, construction constraints, and delivery considerations influenced the decision to implement prefabrication. …

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Metrological Characterization Of Pavement Friction Measurements For High-Friction Surface Treatments: Si Traceability, Uncertainty Evaluation, And Adhesion–Hysteresis Separation Via Water–Soap Bpt Protocol, Alireza Roshan, Magdy Abdelrahman Sep 2026

Metrological Characterization Of Pavement Friction Measurements For High-Friction Surface Treatments: Si Traceability, Uncertainty Evaluation, And Adhesion–Hysteresis Separation Via Water–Soap Bpt Protocol, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Laboratory friction measurements are central to material screening for High-Friction Surface Treatments (HFST), yet metrological aspects including a proposed metrological traceability framework or uncertainty, and reproducibility are consistently underreported. This study applies a metrology-aligned framework to British Pendulum Tester (BPT) measurements performed in three states: dry, wet (water), and water–soap to assess operational adhesion and hysteresis components, document traceability to the International System of Units (SI), and report GUM-style uncertainty with covariance for the adhesion difference. Measurements were obtained for calcined bauxite (CB) and rhyolite (Rhy) in HFST and Coarse gradations across seven polishing protocols (baseline; LAA-1000/2000; MDA-105/180; PSV-10 h/20 …

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Optimization Of Bonding Behavior Of Crumb Rubber-Modified (Crm) Asphalt For Sustainable High-Friction Surface Treatment (Hfst) Applications, Abdallah Aboelela, Magdy Abdelrahman Sep 2026

Optimization Of Bonding Behavior Of Crumb Rubber-Modified (Crm) Asphalt For Sustainable High-Friction Surface Treatment (Hfst) Applications, Abdallah Aboelela, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Binder bonding strength (BBS) is critical to aggregate retention and friction performance in high-friction surface treatment (HFST). Although epoxy resin is traditionally used, asphalt-based binders offer a sustainable alternative; however, their bonding behavior and influence on polishing performance remain insufficiently understood. This study investigated the evolution and optimization of BBS in crumb rubber-modified (CRM) asphalt for rhyolite-based HFSTs. BBS was measured under dry and wet-conditioned states for two CR contents (10% and 15%), two CR types (cryogenic and ambient), two interaction temperatures (170 and 200 °C), and interaction times from 10 to 240 min. HFST performance was assessed using the …

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Flexural Performance Of Deficient Rc Beams Repaired With Gfrp Composite, Zena Aljazaeri, Hayder Alghazali, Zuhair Al-Jaberi, John J. Myers Sep 2026

Flexural Performance Of Deficient Rc Beams Repaired With Gfrp Composite, Zena Aljazaeri, Hayder Alghazali, Zuhair Al-Jaberi, John J. Myers

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Fiber-reinforced polymer composite materials have been improved for use in repairing and strengthening existing infrastructure over the past few decades. This case study focuses on the effect of confinement with GFRP strips on the structural performance of out-of-service beams in bridge applications due to the impact of over-height vehicles or inadequate lap-spliced reinforcements. In this study, beams with inadequate lap splices in the tension zone were utilized to mimic the damaged area in out-of-service RC beams. The proposed repair technique is a glass fiber-reinforced polymer (GFRP) composite in the form of longitudinal sheets and U-wrapped strips. The experimental study determined …

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Biodesulfurization Of Crude Oil Using Locally Isolated Pseudomonas Aeruginosa From Oil-Contaminated Soil In Iraqi Kurdistan, Yousif Mohammed Sharif, Sherwan Mohammed Simo, Lokman Aziz Abdulkareem, Muthanna H. Al-Dahhan Sep 2026

Biodesulfurization Of Crude Oil Using Locally Isolated Pseudomonas Aeruginosa From Oil-Contaminated Soil In Iraqi Kurdistan, Yousif Mohammed Sharif, Sherwan Mohammed Simo, Lokman Aziz Abdulkareem, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Locally sourced crude oil from Iraqi Kurdistan contains recalcitrant organosulfur compounds that impair air quality, corrode refinery equipment, and hinder compliance with fuel sulfur regulations. This study isolated a Pseudomonas sp. closely related to the Pseudomonas aeruginosa from oil-contaminated soil near Kashy Refinery (Duhok Province, Kurdistan Region, Iraq) and evaluated its biodesulfurization potential as an environmentally friendly alternative to hydrodesulfurization. Batch experiments were conducted at 34 °C and atmospheric pressure using mineral salts medium supplemented with 1%, 3%, and 5% (v/v) Tawki crude oil. The highest sulfur removal efficiency of 83.33% was obtained at 1% (v/v) crude oil after 10 …

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Dustmambanet: A Hybrid Inceptionv3–State-Space Network For Robust Solar Panel Dust Detection, Kadhim Hayawi, Sakib Shahriar Sep 2026

Dustmambanet: A Hybrid Inceptionv3–State-Space Network For Robust Solar Panel Dust Detection, Kadhim Hayawi, Sakib Shahriar

All Works

To develop a robust, scalable vision-based model for automatic detection and quantification of dust accumulation on solar photovoltaic panels, overcoming limitations of existing convolutional and attention-based methods and supporting proactive maintenance. We propose DustMambaNet, a hybrid model that consists of a pretrained InceptionV3 convolutional neural network as a feature extractor and two selective state space sequence modules. The state space modules use gated depthwise convolutions to represent long-range spatial dependencies that are of linear complexity, after rearranging spatial features to form sequences. The network provides a binary classification of dust with a severity index (DSI) and a continuous one. All …

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