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Articles 1981 - 2010 of 75031
Full-Text Articles in Engineering
Magnesium Sulfate Attack Of Alite Paste And Mitigation By Surface Carbonation: Monitoring And Comparison Using Novel Portable Fiber-Optic Raman Probe, Bohong Zhang, Gao Deng, Hongyan Ma, Jie Huang
Magnesium Sulfate Attack Of Alite Paste And Mitigation By Surface Carbonation: Monitoring And Comparison Using Novel Portable Fiber-Optic Raman Probe, Bohong Zhang, Gao Deng, Hongyan Ma, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
Sulfate attack on cement matrix is still a "confused world" especially when magnesium sulfate (MgSO4) is the sulfate source. Accurate assessment of sulfate attack is essential for evaluating the structural integrity and durability of concrete in relevant environments. This study presents a portable fiber-optic Raman probe approach with 125 μm spatial resolution, designed for depth-resolved sulfate ingress monitoring in tricalcium silicate (C₃S, Alite) pastes. The probe is also used to evaluate the effectiveness of surface carbonation in mitigating sulfate attack. The results demonstrate a strong correlation between sulfate penetration depth and Raman spectral intensity ratios of sulfate-related vibrational …
Polymorphism Crystal Structure Prediction With Adaptive Space Group Diversity Control, Sadman Saadeed Omee, Lai Wei, Jianjun Hu
Polymorphism Crystal Structure Prediction With Adaptive Space Group Diversity Control, Sadman Saadeed Omee, Lai Wei, Jianjun Hu
Faculty Publications
Crystalline materials can form different structural arrangements (i.e., polymorphs) with the same chemical composition, exhibiting distinct physical properties depending on how they are synthesized or the conditions under which they operate. For example, carbon can exist as graphite (soft, conductive) or diamond (hard, insulating). Computational methods that can predict these polymorphs are vital in materials science, which help understand stability relationships, guide synthesis efforts, and discover new materials with desired properties without extensive trial-and-error experimentation. However, effective crystal structure prediction (CSP) algorithms for inorganic polymorph structures remain limited. ParetoCSP2 is proposed, a multi-objective genetic algorithm for polymorphism CSP that incorporates …
Microstructure Densification In Cement Pastes Enabled By Novel Graphene Types, Sahil Surehali, Taihao Han, Ranjith Divigalpitiya, Aditya Kumar, Narayanan Neithalath
Microstructure Densification In Cement Pastes Enabled By Novel Graphene Types, Sahil Surehali, Taihao Han, Ranjith Divigalpitiya, Aditya Kumar, Narayanan Neithalath
Materials Science and Engineering Faculty Research & Creative Works
The primary barriers hindering graphene's widespread adoption as a performance-enhancing additive in cement-based systems have traditionally been its prohibitive cost and the sustainability concerns associated with conventional manufacturing processes. However, these impediments have recently been mitigated by advancements in detonation synthesis techniques, enabling scalable, cost-effective, and environmentally favorable production of novel graphene types—specifically fractal graphene (FG) and reactive graphene (RG). This paper explores the influence of ultra-low dosages of FG and RG (≤ 0.04 % by mass of cement, which results in ∼20 % increase in compressive strengths) on the pore-structure features of cement pastes. Compared to the control paste, …
Pendant Micro-Droplet Evaporation Fabricates Fiber-Optic Mof Gas Sensor In Seconds, Abhishek Prakash Hungund, Bohong Zhang, Narasimman Subramaniyam, Thomas Spudich, Ryan O'Malley, Farhan Mumtaz, Rex E. Gerald, Jie Huang
Pendant Micro-Droplet Evaporation Fabricates Fiber-Optic Mof Gas Sensor In Seconds, Abhishek Prakash Hungund, Bohong Zhang, Narasimman Subramaniyam, Thomas Spudich, Ryan O'Malley, Farhan Mumtaz, Rex E. Gerald, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
The development of photonic-based gas sensors using metal–organic frameworks (MOFs) and other microporous solids is often a multistep, complex process, typically involving MOF synthesis, purification, and attachment of microcrystals to an optical fiber end face. This study introduces a one-step method that integrates MOF synthesis and sensor head fabrication directly onto the fiber end face, forming an extrinsic Fabry–Perot interferometer (EFPI) with a thin film of MOF microcrystals. The resulting film, only 3–10-μm-thick, enhances sensor response by enabling rapid gas detection within seconds. Utilizing a pendant micro-droplet evaporation technique, this method forms a microporous MOF layer in situ, allowing unreacted …
Warpage-Resistant, Under-Extrusion-Free, High-Surface-Quality Additive Manufacturing Process For Polyethylene-Based Composite Radiation Shielding Material, Duo Xu, Volodymyr Korolovych, You Lyu, Jacqueline Aslarus, Domingo R. Flores-Hernandez, Simo Pajovic, William T. Heller, Lembit Sihver, Svetlana V. Boriskina
Warpage-Resistant, Under-Extrusion-Free, High-Surface-Quality Additive Manufacturing Process For Polyethylene-Based Composite Radiation Shielding Material, Duo Xu, Volodymyr Korolovych, You Lyu, Jacqueline Aslarus, Domingo R. Flores-Hernandez, Simo Pajovic, William T. Heller, Lembit Sihver, Svetlana V. Boriskina
Informatics and Engineering Systems Faculty Publications
Polyethylene (PE) is one of the best shielding materials for primary space radiation due to its high hydrogen content. For effective secondary neutron shielding, boron-rich fillers are incorporated to enhance performance. The semicrystalline nature and high thermal expansion coefficient of PE impede its adoption for in situ additive manufacture in space via the fused deposition modeling (FDM) 3D printing. We developed an optimized PE blend to mitigate the effects of under-extrusion and warpage. Guided by studies on extrusion and warpage, we developed an optimal set of printing parameters for the proposed PE blend. The optimum PE blend─both in its pure …
Using Drone And Ai To Map Leaf Water Potential And Stem Water Potential For Water Stress Management In Commercial Vineyards, Alfonso F. Torres-Rua
Using Drone And Ai To Map Leaf Water Potential And Stem Water Potential For Water Stress Management In Commercial Vineyards, Alfonso F. Torres-Rua
Funded Research Records
No abstract provided.
Engineering, Innovation, And God’S Creation, Fred Haan
Engineering, Innovation, And God’S Creation, Fred Haan
University Faculty Publications and Creative Works
Took place at YPPH Annual Retreat 2025 Coram Deo In the Presence of God Reflections on Biblical Christian Worldview at Pelita Harapan University on 9/26/2025 in Jakarta, Indonesia.
Bachelor's Degrees And Earnings In The Mountain West, 2022, Anthony Arroyo, Sydney Mitchell, Lara Karaalp, Caitlin J. Saladino, William E. Brown Jr.
Bachelor's Degrees And Earnings In The Mountain West, 2022, Anthony Arroyo, Sydney Mitchell, Lara Karaalp, Caitlin J. Saladino, William E. Brown Jr.
Higher Education
This fact sheet presents 2022 data on the median annual earnings of bachelor's degree holders for specific fields of degrees (FODs) across the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah. This fact sheet also examines the share and earnings of individuals with less than a bachelor’s degree compared to bachelor’s degree holders in the three Mountain West metropolitan statistical areas (MSAs) appearing among the 30 largest MSAs in the United States: Phoenix-Mesa-Chandler, AZ; Denver-Aurora-Lakewood, CO; and Las Vegas-Henderson-Paradise, NV. The “Field of Bachelor's Degree in the United States: 2022” report from the U.S. Census Bureau …
Face Off: Evaluating Virtual Human Expressions And Non-Tracking Control Methods In Vr, J K Sangeeth Chandran, Marisa Llorens Salvador, Cathy Ennis
Face Off: Evaluating Virtual Human Expressions And Non-Tracking Control Methods In Vr, J K Sangeeth Chandran, Marisa Llorens Salvador, Cathy Ennis
Conference papers
Social virtual reality (VR) applications have become more ubiquitous in recent years; central to this is the communication pipeline, how users perceive virtual human facial expressions, and how they control them in real time, especially when using VR devices without face-tracking. We investigated both aspects in a set of experiments. Firstly, we compared the perception of virtual human emotions on a traditional 2D screen and in VR. In a second experiment, we used a validated set of stimuli to compare three different control methods for manipulating an avatar’s facial expressions in VR. These control methods utilize non-tracking control techniques, which …
Assessing The Impact Of Flight Occupancy And Motivation On General Aviation Pilot Decision-Making In Restricted Visibility, Brad A. Bowser
Assessing The Impact Of Flight Occupancy And Motivation On General Aviation Pilot Decision-Making In Restricted Visibility, Brad A. Bowser
Doctoral Dissertations and Projects
Annually, general aviation (GA) continues to experience an elevated number of fatal weather-related accidents. The highest fatality rate occurs during transitions from visual flight rules (VFR) with clear skies to instrument meteorological conditions (IMC) and restricted visibility. The purpose of this study was to examine differences in flight occupancy (with family, with another pilot, and solo) and flight motivation (extrinsic, intrinsic, and neither) in the willingness of GA pilots to transition from VFR-to-IMC. The framework for this study includes the prospect theory, which is based on behavioral economics, explaining that choices often result in decisions to avoid losses rather than …
Facilitating The Move Towards A Wellbeing Economy Through Supporting Infrastructure: A Review Of Frontrunner Countries, Henry Bartelet, Vincent De Gooyert
Facilitating The Move Towards A Wellbeing Economy Through Supporting Infrastructure: A Review Of Frontrunner Countries, Henry Bartelet, Vincent De Gooyert
Quantitative Methods and Information Technology Faculty Publications
As more governments seek to shift beyond gross domestic product (GDP) as the dominant measure of progress, the concept of a “wellbeing economy” has gained traction. This approach prioritizes human and environmental wellbeing through broader, more holistic policy frameworks. A central question in this transition is what the implications of shifts to a wellbeing economy are for infrastructure investments. In this study, we identify four frontrunner governments, Bhutan, Scotland, New Zealand, and Wales, that have formally adopted wellbeing economy principles. We analyse how each operationalizes the concept and assess the resulting implications for infrastructure planning and investment. Despite shared goals, …
Evaluation Of Robotic Swabbing And Fluorescent Sensing To Monitor The Hygiene Of Food Contact Surfaces, Siavash Mahmoudi, Clark Griscom, Pouya Sohrabipour, Yang Tian, Chaitanya Palleria, Philip G. Crandall, Dongyi Wang
Evaluation Of Robotic Swabbing And Fluorescent Sensing To Monitor The Hygiene Of Food Contact Surfaces, Siavash Mahmoudi, Clark Griscom, Pouya Sohrabipour, Yang Tian, Chaitanya Palleria, Philip G. Crandall, Dongyi Wang
Biological and Agricultural Engineering Faculty Publications and Presentations
Effective environmental monitoring is critical for preventing microbial and allergenic cross-contamination. However, manual swabbing methods, commonly used to verify hygienic conditions, are prone to inconsistent results because of variability in pressure, coverage, and techniques. Two novel solutions will be explored to address these challenges: a robotic swabbing system with tactile sensing control, and a fluorescence/absorbance spectrometer for non-contact, protein-based residue detection. The robotic system was evaluated against trained and untrained humans, measuring water pickup, surface coverage, and pressure consistency. Concurrently, the fluorescence system analyzed model poultry protein soil to correlate spectral patterns with contamination levels. The robotic system demonstrated statistically …
Eng- Semicon: Understanding Nanoscale Heat Transport In Wide- And Ultrawide Bandgap Semiconductors Using Novel Deep Ultraviolet Tools, Joshua Lee Knobloch
Eng- Semicon: Understanding Nanoscale Heat Transport In Wide- And Ultrawide Bandgap Semiconductors Using Novel Deep Ultraviolet Tools, Joshua Lee Knobloch
Funded Research Records
No abstract provided.
Click-Ready Gold Nanoparticles From Aqueous Mechanochemistry: 2-Propynylamine As A Reducing Agent And Surface Ligand, Amber L. Garcia, Brian S. Mitchell, Amanda Reusch, Mark J. Fink, Juan P. Hinestroza, Yelin Ko, Julie P. Vanegas
Click-Ready Gold Nanoparticles From Aqueous Mechanochemistry: 2-Propynylamine As A Reducing Agent And Surface Ligand, Amber L. Garcia, Brian S. Mitchell, Amanda Reusch, Mark J. Fink, Juan P. Hinestroza, Yelin Ko, Julie P. Vanegas
Physics & Astronomy Faculty Publications
We report a rapid aqueous method for synthesizing monodisperse gold nanoparticles (AuNPs), employing 2-propynylamine as both an intrinsic reducing agent and a surface-stabilizing ligand. This self-mediated process—achieved in a single step—yields spherical AuNPs with an average diameter of 4.0 ± 1.0 nm and a well-defined localized surface plasmon resonance band centered at 520 nm. Acting as a bifunctional molecule, 2-propynylamine simultaneously reduces HAuCl4·3H2O to elemental gold and passivates the nanoparticle surface through coordination via the amine group, while preserving a terminal alkyne (–C≡CH) functionality. This reactive moiety remains exposed and chemically accessible, enabling post-synthetic modification through Cu(I)-catalyzed azide–alkyne cycloaddition. Control …
Teaching Science And Technology As Stewardship Of God’S Creation, Fred Haan
Teaching Science And Technology As Stewardship Of God’S Creation, Fred Haan
University Faculty Publications and Creative Works
Took place on 9/24/25 at Sekolah Pelita Harapan, Lippo Village in Jakarta, Indonesia. The event was called Integration of Faith and Learning in K-12 Education.
Effect Of Clays On The Spontaneous Imbibition Behavior Of Surfactant Solutions In Shale Oil Reservoirs, Ning Xu, Yanling Wang, Baojun Bai, Chuanbao Zhang, Shizhang Cui, Yu Zhang, Di Li, Wenjing Shi, Wenhui Ding
Effect Of Clays On The Spontaneous Imbibition Behavior Of Surfactant Solutions In Shale Oil Reservoirs, Ning Xu, Yanling Wang, Baojun Bai, Chuanbao Zhang, Shizhang Cui, Yu Zhang, Di Li, Wenjing Shi, Wenhui Ding
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Surfactant-enhanced spontaneous imbibition is a proven method of enhancing oil recovery from shale reservoirs. However, a significant knowledge gap concerning the impact of clay minerals on surfactant-enhanced imbibition in shale reservoirs remains. Therefore, this study first analyzed the mineral composition and pore structure of the shale reservoirs. Subsequently, three surfactants were selected for spontaneous imbibition experiments. The influence of various clay minerals on the surfactant imbibition was assessed by considering various properties of the imbibition system. The results showed that the shale pores primarily consisted of macropores (44.03%) and mesopores (43.94%). Surfactants enhance the imbibition recovery by altering the wettability …
Thermal Performance Variations Of Office Spaces In Educational Buildings Resulting From Façade Orientation: An Egyptian Case Stud, Hesham Safwat, Ahmad Elshamy, Rania Rushdy Moussa, Iman El-Mahallawi El-Mahallawi, Engy Elshazly, Mahmoud Mahmoudalghrieb
Thermal Performance Variations Of Office Spaces In Educational Buildings Resulting From Façade Orientation: An Egyptian Case Stud, Hesham Safwat, Ahmad Elshamy, Rania Rushdy Moussa, Iman El-Mahallawi El-Mahallawi, Engy Elshazly, Mahmoud Mahmoudalghrieb
Mechanical Engineering
This paper investigates the thermal performance of an office floor within the Faculty of Engineering at the British University in Egypt (BUE), located in Cairo, a city characterized by a hot arid climate. The study focuses on understanding the building’s thermal behavior by comparing two identical office rooms: Room 212 (north-facing) and Room 201 (south facing). Utilizing dynamic thermal simulations with TRNSYS 18 for a full year, the research specifically analyzes the impact of these opposite orientations on indoor space temperature, total cooling loads, the monthly heat absorbed by various building surfaces, and the heat absorbed per unit area for …
Overcoming Variable Illumination In Photovoltaic Snow Monitoring: A Real-Time Robust Drone-Based Deep Learning Approach, Amna Mazen, Ashraf Saleem, Kamyab Yazdipaz, Ana Dyreson
Overcoming Variable Illumination In Photovoltaic Snow Monitoring: A Real-Time Robust Drone-Based Deep Learning Approach, Amna Mazen, Ashraf Saleem, Kamyab Yazdipaz, Ana Dyreson
Michigan Tech Publications
Snow accumulation on photovoltaic (PV) panels can cause significant energy losses in cold climates. While drone-based monitoring offers a scalable solution, real-world challenges like varying illumination can hinder accurate snow detection. We previously developed a YOLO-based drone system for snow coverage detection using a Fixed Thresholding segmentation method to discriminate snow from the solar panel; however, it struggled in challenging lighting conditions. This work addresses those limitations by presenting a reliable drone-based system to accurately estimate the Snow Coverage Percentage (SCP) over PV panels. The system combines a lightweight YOLOv11n-seg deep learning model for panel detection with an adaptive image …
Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen
Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen
Graduate Student Scholarship
Electrical faults in power transmission systems can severely affect grid stability, equipment safety, and operational reliability. Traditional protection schemes, particularly distance relays, depend on apparent impedance computation that changes with error, creating a risk of misclassification. The results from relay overreach, underreach, or complete maloperation due to CT/PT saturation lead to developing problems in high impedance situations. These limitations highlight the need for adaptive, data-driven alternatives. This paper proposes an intelligent fault detection and classification model based on supervised machine learning techniques that overcome these challenges. The system’s robustness was validated under different training sizes and Gaussian noise levels, demonstrating …
Performance Of A Two-Body Wave Energy Converter With An Annular Heave Plate, Raj Tamakuwala, Muhammad Usman, Nathan Tom, Hassan Masoud
Performance Of A Two-Body Wave Energy Converter With An Annular Heave Plate, Raj Tamakuwala, Muhammad Usman, Nathan Tom, Hassan Masoud
Michigan Tech Publications
We theoretically examine the performance of a two-body wave energy converter (WEC) featuring a floating sphere and a submerged annular heave plate, connected by a power take-off (PTO) system. Utilising linear wave theory, we derive the system's frequency-domain response to regular plane waves and analyse the impact of varying disk porosity on power generation. Our results suggest that annular disks can enhance power extraction efficiency in various cases compared with solid heave plates. Additionally, permeable plates can broaden operational conditions by reducing oscillation amplitudes and decreasing the mechanical strain on the PTO system without substantially compromising the power conversion efficiency. …
Designing For Shalom: Deepening Faith Integration In Engineering And Technology, Fred Haan
Designing For Shalom: Deepening Faith Integration In Engineering And Technology, Fred Haan
University Faculty Publications and Creative Works
Presented on 9/22/2025 at the event, Integration of Faith and Learning in the Disciplines at the University Pelita Harapan in Jakarta, Indonesia
Global Transport Emissions 1850–2020: Historical Drivers And Lessons For Transport Decarbonization, Bernardo Tostes, Sofia T. Henriques, Matthew Kuperus Heun, Paul E. Brockway, Tânia Sousa
Global Transport Emissions 1850–2020: Historical Drivers And Lessons For Transport Decarbonization, Bernardo Tostes, Sofia T. Henriques, Matthew Kuperus Heun, Paul E. Brockway, Tânia Sousa
University Faculty Publications and Creative Works
This study analyzes global transport CO2 emissions from 1850 to 2020 using the LMDI method, offering, for the first time, a decomposition over such a long timespan and global scope. Emissions are split into technological and demand-related drivers using a new dataset. Transport efficiency is divided into final-to-useful efficiency and useful energy intensity, a novel distinction. Key findings include: (1) efficiency improvements avoided 9067 Gt CO2 by 2019, with peak impacts in 1950–1973 (-1.62 %/yr) and 2008–2020 (-3.63 %/yr), respectively; (2) these gains were insufficient to counter rising demand, which led to 8252 Gt CO2 in cumulative emissions; (3) demand …
Engineering And Technology, Fred Haan
Engineering And Technology, Fred Haan
University Faculty Publications and Creative Works
9/21/2025 for the event, Integration of Faith and Learning, at University Pelita Harapan in Jakarta, Indonesia
An Improved Method To Calculate Stripping Inflection Point (Sip) And Its Application In Evaluating Moisture Susceptibility Of Asphalt Mixtures, Ping Jiang, Bo Lin, Yizhuang David Wang, Jenny Liu, Seyed Alireza Ghanoon
An Improved Method To Calculate Stripping Inflection Point (Sip) And Its Application In Evaluating Moisture Susceptibility Of Asphalt Mixtures, Ping Jiang, Bo Lin, Yizhuang David Wang, Jenny Liu, Seyed Alireza Ghanoon
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Accurately assessing asphalt mixtures' moisture susceptibility is critical because moisture damage can significantly reduce pavement durability, leading to premature failure and structural integrity of the pavement. The stripping inflection point (SIP), a moisture susceptibility index derived from the Hamburg Wheel Track (HWT) test, has practical merits in evaluating moisture susceptibility. However, current methods for determining the SIP showed low accuracy and high variability due to poor regression quality. Hence, this study aims to propose an improved method for calculating the SIP by modifying existing approaches to better capture the characteristics of rutting curves. Typical asphalt mixtures were used to conduct …
An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti
An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti
Faculty Publications
Recent advances in Radio Frequency (RF)-based device classification have shown promise in enabling secure and efficient wireless communications. However, the energy efficiency and low-latency processing capabilities of neuromorphic computing have yet to be fully leveraged in this domain. This paper is a first step toward enabling an end-to-end neuromorphic system for RF device classification, specifically supporting development of a neuromorphic classifier that enforces temporal causality without requiring non-neuromorphic classifier pre-training. This Spiking Neural Network (SNN) classifier streamlines the development of an end-to-end neuromorphic device classification system, further expanding the energy efficiency gains of neuromorphic processing to the realm of RF …
Advanced Microstructured Batio3-Embedded Pvdf–Hfp/Peo Film For Enhanced Triboelectric Interface In Self-Sufficient Energy Generation And Sensing, Rigobert Ybarra, Diego De Leon, Michael Moreno, Cesar Sanchez, Fernando Viesca, Kevin Alejandro, Shishir Timilsena, Nicholas Dimakis, Joseph H. Dumont, Tommy Rockward, Tarik J. Dickens, Md. Wasikur Rahman, Mohammed Jasim Uddin
Advanced Microstructured Batio3-Embedded Pvdf–Hfp/Peo Film For Enhanced Triboelectric Interface In Self-Sufficient Energy Generation And Sensing, Rigobert Ybarra, Diego De Leon, Michael Moreno, Cesar Sanchez, Fernando Viesca, Kevin Alejandro, Shishir Timilsena, Nicholas Dimakis, Joseph H. Dumont, Tommy Rockward, Tarik J. Dickens, Md. Wasikur Rahman, Mohammed Jasim Uddin
Mechanical Engineering Faculty Publications
The global reliance on fossil fuels and natural gas has largely dominated the energy production field, but due to finite resource depletion and escalating greenhouse gas emissions, the immediate exploration of sustainable energy alternatives to mitigate climate change and ensure resource security has been a major concern. There has been extensive research into other more renewable methods of energy production, such as wind and hydropower. Of these current energy generation types, there are many areas of untapped potential from the mechanical movements generated ambiently not only in the large scale of power generation but also on a smaller scale. The …
Analysis Of Modifications To An Outdoor Field-Scale Rotating Algal Biofilm Reactor With A Focus On Biomass Productivity And Power Usage, Davis R. Haag, Phillip E. Heck, Ronald C. Sims
Analysis Of Modifications To An Outdoor Field-Scale Rotating Algal Biofilm Reactor With A Focus On Biomass Productivity And Power Usage, Davis R. Haag, Phillip E. Heck, Ronald C. Sims
Biological Engineering Student Research
Filtrate from dewatering anaerobically digested biosolids is a side-stream of wastewater treatment that contains high concentrations of nitrogen and phosphorus compounds that can serve as nutrients for cultivating microalgae biomass as biofilms for bioproduct production at Water Resource Recovery Facilities (WRRFs). One system used to cultivate attached microalgae biofilms is the rotating algal biofilm reactor (RABR). A pilot RABR with 72 m2 growth surface area, 11.5 m2 footprint area, and a liquid volume of 11,500 L was operated in an outdoor environment at the largest WRRF in Utah, U.S.A, the Central Valley Water Reclamation Facility (CVWRF). The configuration …
Bioresources And Bioproducts: A New Open Access Journal, Ronald C. Sims
Bioresources And Bioproducts: A New Open Access Journal, Ronald C. Sims
Biological Engineering Faculty Publications
Greetings to the bioresource and bioproducts community! I will serve as the Editor-in-Chief to collaborate with you as we promote the aims and scope of this new MDPI journal [1], with the help of its distinguished Editorial Board, by publishing Special Issues, Topics, Topical Collections, and Editorials, and by providing high-impact scholarship through the outstanding published work of each of our contributors.
Machine-Learning-Assisted Discovery Of Lattice Dynamics Signatures Of Sodium Superionic Conductors, Ogheneyoma Aghoghovbia, Riccardo Rurali, Mohammed Al-Fahdi, Joshua Ojih, De-En Jiang, Ming Hu
Machine-Learning-Assisted Discovery Of Lattice Dynamics Signatures Of Sodium Superionic Conductors, Ogheneyoma Aghoghovbia, Riccardo Rurali, Mohammed Al-Fahdi, Joshua Ojih, De-En Jiang, Ming Hu
Faculty Publications
Sodium superionic conductors are key to the development of all-solid-state sodium batteries. Discovery of new superionic conductors has traditionally relied on insights from material defect chemistry and the transition/hopping theory, while the role of lattice vibrations, i.e., phonons, remains underexplored. We identify key lattice dynamics signatures that govern ionic conductivity by analyzing the phonon mean squared displacement (MSD) of Na+ ions. By high-throughput screening of a dataset of 3903 Na-containing structures, we establish a strong positive correlation between phonon MSD and diffusion coefficients, providing a quantitative correlation between lattice dynamics and ion transport. To accelerate this discovery, we incorporate …
Occulation Observations With Event-Based Vision Sensors [ Poster ], Rachel Oliver, Paul Rickerhauser, Brian Mcreynolds
Occulation Observations With Event-Based Vision Sensors [ Poster ], Rachel Oliver, Paul Rickerhauser, Brian Mcreynolds
Faculty Publications
Event-based vision sensors (EVS) offer exceptional change detection capabilities due to their asynchronous and independent pixels which record binary events with changes in their photocurrent. The resulting address event representation data is a sparse timeseries list.