Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Environmental Sciences (31431)
- Computer Sciences (27408)
- Earth Sciences (27032)
- Physics (20846)
- Geology (16776)
-
- Life Sciences (15476)
- Engineering (15426)
- Mathematics (12125)
- Chemistry (11902)
- Social and Behavioral Sciences (9979)
- Oceanography and Atmospheric Sciences and Meteorology (9454)
- Natural Resources and Conservation (6861)
- Education (6585)
- Natural Resources Management and Policy (6477)
- Astrophysics and Astronomy (6192)
- Water Resource Management (6042)
- Environmental Health and Protection (5456)
- Arts and Humanities (5448)
- Statistics and Probability (4844)
- Science and Mathematics Education (4465)
- Environmental Monitoring (4461)
- Databases and Information Systems (4435)
- History (4175)
- Medicine and Health Sciences (4142)
- Sustainability (4069)
- Environmental Indicators and Impact Assessment (3938)
- Mechanical Engineering (3929)
- Other Environmental Sciences (3768)
- History of Science, Technology, and Medicine (3746)
- Institution
-
- University of Nebraska - Lincoln (24207)
- Western Michigan University (12346)
- Singapore Management University (7299)
- University of Wollongong (4833)
- Utah State University (4660)
-
- Missouri University of Science and Technology (4396)
- Old Dominion University (3826)
- Wright State University (2722)
- University of Kentucky (2708)
- William & Mary (2484)
- Portland State University (2397)
- City University of New York (CUNY) (2309)
- Technological University Dublin (2174)
- University of Nevada, Las Vegas (1959)
- Purdue University (1938)
- University of Texas Rio Grande Valley (1875)
- Department of Primary Industries and Regional Development, Western Australia (1655)
- California Polytechnic State University, San Luis Obispo (1631)
- Edith Cowan University (1547)
- Dartmouth College (1500)
- Western Kentucky University (1481)
- University of Colorado Law School (1476)
- Syracuse University (1316)
- Chapman University (1280)
- University of New Hampshire (1222)
- Marquette University (1186)
- Smith College (1139)
- COBRA (1121)
- University of Texas at El Paso (1094)
- Nova Southeastern University (1072)
- Keyword
-
- Western Australia (1129)
- Climate change (945)
- Research and Technical Reports (797)
- Nebraska (736)
- Grains and field crops (646)
-
- Machine learning (634)
- Physics (630)
- Water quality (588)
- Mathematics (574)
- Groundwater (570)
- United States (570)
- Sustainability (515)
- Virginia (515)
- Chemistry (497)
- Data (492)
- Management (489)
- Water (482)
- 2014 International Conference on Hydroinformatics HIC (464)
- Climate (425)
- Deep learning (412)
- Artificial intelligence (399)
- Utah (394)
- GIS (387)
- Kentucky (386)
- Technical Reports (376)
- UTEP Computer Science Department (375)
- Security (362)
- Western Kentucky University (350)
- Conservation (340)
- Colorado (337)
- Publication Year
- Publication
-
- Legacy Scout Tickets from Pure Oil Company (11044)
- Research Collection School Of Computing and Information Systems (6884)
- Faculty Publications (3783)
- Nebraska Tractor Tests (3348)
- Faculty of Informatics - Papers (Archive) (2013)
-
- Physics Faculty Publications (1942)
- Reports (1835)
- Physics Faculty Research & Creative Works (1762)
- Department of Computer Science Technical Reports (1721)
- School of Natural Resources: Faculty Publications (1586)
- United States Department of Agriculture Wildlife Services: Staff Publications (1529)
- Australian Institute for Innovative Materials - Papers (1524)
- Articles (1360)
- Computer Science & Engineering Syllabi (1312)
- Publications (1309)
- Publications and Research (1244)
- Legacy Color Lithology Strip Logs (1152)
- Faculty of Science - Papers (Archive) (1143)
- Chemistry Faculty Publications (1124)
- Dartmouth Scholarship (1106)
- Departmental Technical Reports (CS) (1083)
- United States Geological Survey: Staff Publications (1025)
- Physics and Astronomy Faculty Publications (863)
- Conservation and Survey Division (844)
- Silver Bow Creek/Butte Area Superfund Site (844)
- Chemistry Faculty Research & Creative Works (790)
- Mathematics Faculty Publications (763)
- Mathematics, Physics, and Computer Science Faculty Articles and Research (760)
- Computer Science Faculty Publications (729)
- Experimental Summaries - Plant Research (726)
Articles 571 - 600 of 144817
Full-Text Articles in Physical Sciences and Mathematics
Development Of The Roadway Pothole Management Program, Dingxin Cheng
Development Of The Roadway Pothole Management Program, Dingxin Cheng
Mineta Transportation Institute
Addressing the issue of potholes is a primary concern for maintaining urban infrastructure. The research team has developed a prototype pothole management program. The program includes a mobile application and two machine learning models. The mobile app enables users to upload images of potholes, report relevant information, and provide driving directions to the pothole location. With the help of this application, the user can seamlessly capture images of the potholes, record pertinent information, and submit the data for necessary action. The mobile application is an essential tool in the Pothole Management Program (PMP), as it enhances the program's efficiency, effectiveness, …
Mapping Of Pavement Conditions Using Smartphone/Tablet Lidar Case Study: Sensor Performance Comparison, Calvin Beavers, Chad Day, Austin Krietemeyer, Scott M. Peterson, Yushin Ahn, Xiaojun Li
Mapping Of Pavement Conditions Using Smartphone/Tablet Lidar Case Study: Sensor Performance Comparison, Calvin Beavers, Chad Day, Austin Krietemeyer, Scott M. Peterson, Yushin Ahn, Xiaojun Li
Mineta Transportation Institute
Poor road conditions affect millions of drivers, and assessing the condition of paved surfaces is a critical step towards repairing them. This project explores the feasibility of using the Apple iPad Pro LiDAR sensor as a cost-effective tool for assessing the damage and condition of paved surfaces. Our research aims to provide accurate and precise measurements using readily available consumer devices and compare the results to state-of-the-art equipment. This investigation involved visual inspection, identification, and classification of pavement distresses, followed by a comparison of the iPad and iPhone LiDAR data with a survey-grade terrestrial laser scanner. The project revealed several …
Label-Free Surface-Enhanced Raman Spectroscopy Coupled With Machine Learning Algorithms In Pathogenic Microbial Identification: Current Trends, Challenges, And Perspectives, Jia Wei Tang, Quan Yuan, Xin Ru Wen, Muhammad Usman, Alfred Chin Yen Tay, Liang Wang
Label-Free Surface-Enhanced Raman Spectroscopy Coupled With Machine Learning Algorithms In Pathogenic Microbial Identification: Current Trends, Challenges, And Perspectives, Jia Wei Tang, Quan Yuan, Xin Ru Wen, Muhammad Usman, Alfred Chin Yen Tay, Liang Wang
Research outputs 2022 to 2026
Infectious diseases caused by microbial pathogens remain a primary contributor to global health burdens. Prompt control and effective prevention of these pathogens are critical for public health and medical diagnostics. Conventional microbial detection methods suffer from high complexity, low sensitivity, and poor selectivity. Therefore, developing rapid and reliable methods for microbial pathogen detection has become imperative. Surface-enhanced Raman Spectroscopy (SERS), as an innovative non-invasive diagnostic technique, holds significant promise in pathogenic microorganism detection due to its rapid, reliable, and cost-effective advantages. This review comprehensively outlines the fundamental theories of Raman Spectroscopy (RS) with a focus on label-free SERS strategy, reporting …
Cellulosic Rich Biomass Production With Optimized Process Parameters By Using Glycerol Pretreatment For Biofuels Applications, Muhammad Sulaiman, Hamayoun Mahmood, Haris M. Khan, Tanveer Iqbal, Nehar U. Khan, Muhammad M. Abbas, Mohammad Nur-E-Alam, Manzoore E. M. Soudagar
Cellulosic Rich Biomass Production With Optimized Process Parameters By Using Glycerol Pretreatment For Biofuels Applications, Muhammad Sulaiman, Hamayoun Mahmood, Haris M. Khan, Tanveer Iqbal, Nehar U. Khan, Muhammad M. Abbas, Mohammad Nur-E-Alam, Manzoore E. M. Soudagar
Research outputs 2022 to 2026
In this work, we conduct acidified aqueous glycerol pre-treatment (AAG) on rice husks (RH) and utilize the response surface methodology (RSM) to assess the impact of pre-treatment parameters. The primary objective of this research is to optimize the parameters to maximize the cellulose content within RH. The parameters under consideration encompassed temperature (ranging from 80 to 110 °C), retention time (spanning 15 to 45 min), and biomass loading (varying from 5 to 10 wt. %). To achieve this optimization, we perform the Box-Behnken Design (BBD) within the framework of RSM. Additionally, we scrutinize the interactive effects of these parameters on …
The Application Of Carbonate And Sediment Budgets To Assess The Stability Of Marginal Reef Systems, Shannon Dee, Adi Zweifler, Michael Cuttler, Jake Nilsen, Joshua Bonesso, Michael O'Leary, Nicola K. Browne
The Application Of Carbonate And Sediment Budgets To Assess The Stability Of Marginal Reef Systems, Shannon Dee, Adi Zweifler, Michael Cuttler, Jake Nilsen, Joshua Bonesso, Michael O'Leary, Nicola K. Browne
Research outputs 2022 to 2026
Coral reefs and their associated landforms (carbonate islands and shorelines) are under increasing threat from the effects of anthropogenic climate change, including sea level rise (SLR). The ability of a reef to keep up with SLR depends on the rate of calcium carbonate accretion. Census-based carbonate budgets quantify rates of net calcium carbonate production on a reef and facilitate estimations of vertical reef accretion potential (RAP). To date, most carbonate budget studies have been undertaken in clear-water settings resulting in a limited understanding of how inshore reefs situated in more marginal environmental settings are functioning now and under future climate …
Containerization On A Self-Supervised Active Foveated Approach To Computer Vision, Dario Dematties, Silvio Rizzi, George K. Thiruvathukal
Containerization On A Self-Supervised Active Foveated Approach To Computer Vision, Dario Dematties, Silvio Rizzi, George K. Thiruvathukal
Computer Science: Faculty Publications and Other Works
Scaling complexity and appropriate data sets availability for training current Computer Vision (CV) applications poses major challenges. We tackle these challenges finding inspiration in biology and introducing a Self-supervised (SS) active foveated approach for CV. In this paper we present our solution to achieve portability and reproducibility by means of containerization utilizing Singularity. We also show the parallelization scheme used to run our models on ThetaGPU–an Argonne Leadership Computing Facility (ALCF) machine of 24 NVIDIA DGX A100 nodes. We describe how to use mpi4py to provide DistributedDataParallel (DDP) with all the needed information about world size as well as global …
On The Size Of Maximal Binary Codes With 2, 3, And 4 Distances, Alexander Barg, Alexey Glazyrin, Wei-Jiun Kao, Ching-Yi Lai, Pin-Chieh Tseng, Wei-Hsuan Yu
On The Size Of Maximal Binary Codes With 2, 3, And 4 Distances, Alexander Barg, Alexey Glazyrin, Wei-Jiun Kao, Ching-Yi Lai, Pin-Chieh Tseng, Wei-Hsuan Yu
School of Mathematical and Statistical Sciences Faculty Publications and Presentations
We address the maximum size of binary codes and binary constant weight codes with few distances. Previous works established a number of bounds for these quantities as well as the exact values for a range of small code lengths. As our main results, we determine the exact size of maximal binary codes with two distances for all lengths n≥6 as well as the exact size of maximal binary constant weight codes with 2, 3, and 4 distances for several values of the weight and for all but small lengths.
Enhancing Tumor Classification Through Machine Learning Algorithms For Breast Cancer Diagnosis, Lawrence Agbota, Edmund F. Agyemang, Priscilla Kissi-Appiah, Lateef Moshood, Akua Osei- Nkwantabisa, Vincent Agbenyeavu, Abraham Nsiah, Augustina Adjei
Enhancing Tumor Classification Through Machine Learning Algorithms For Breast Cancer Diagnosis, Lawrence Agbota, Edmund F. Agyemang, Priscilla Kissi-Appiah, Lateef Moshood, Akua Osei- Nkwantabisa, Vincent Agbenyeavu, Abraham Nsiah, Augustina Adjei
School of Mathematical and Statistical Sciences Faculty Publications and Presentations
In cancer diagnosis, machine learning helps improve cancer detection by providing doctors with a second perspective and allowing for faster and more accurate determination and decisions. Numerous studies have used both classic machine learning approaches and deep learning to address cancer classification. In this study, we examine the efficacy of five commonly used machine learning algorithms; both traditional and deep learning models namely, Logistic Regression, Support Vector Machines (SVM), Random Forest (RF), Decision Tree and Deep Neural Networks (DNN). We analyze their ability to properly classify tumors as Benign or Malignant using the Wisconsin breast cancer dataset (WBCD). Random Forest …
Pseudo-Siamese Network Combined With Label-Free Raman Spectroscopy For The Quantification Of Mixed Trace Amounts Of Antibiotics In Human Milk: A Feasibility Study, Jing Yi Mou, Muhammad Usman, Jia Wei Tang, Quan Yuan, Zhang Wen Ma, Xin Ru Wen, Zhao Liu, Liang Wang
Pseudo-Siamese Network Combined With Label-Free Raman Spectroscopy For The Quantification Of Mixed Trace Amounts Of Antibiotics In Human Milk: A Feasibility Study, Jing Yi Mou, Muhammad Usman, Jia Wei Tang, Quan Yuan, Zhang Wen Ma, Xin Ru Wen, Zhao Liu, Liang Wang
Research outputs 2022 to 2026
The utilization of antibiotics is prevalent among lactating mothers. Hence, the rapid determination of trace amounts of antibiotics in human milk is crucial for ensuring the healthy development of infants. In this study, we constructed a human milk system containing residual doxycycline (DXC) and/or tetracycline (TC). Machine learning models and clustering algorithms were applied to classify and predict deficient concentrations of single and mixed antibiotics via label-free SERS spectra. The experimental results demonstrate that the CNN model has a recognition accuracy of 98.85% across optimal hyperparameter combinations. Furthermore, we employed Independent Component Analysis (ICA) and the pseudo-Siamese Convolutional Neural Network …
Ai Literacy Innovations: Chatgpt's Integration Into A First-Year Information Literacy Program, Taylor J. Greene, Douglas R. Dechow
Ai Literacy Innovations: Chatgpt's Integration Into A First-Year Information Literacy Program, Taylor J. Greene, Douglas R. Dechow
Library Presentations, Posters, and Audiovisual Materials
In the dynamic field of information technology, integration of Artificial Intelligence (AI) literacy into information literacy instruction is now essential to ensure the ethical and productive use of generative AI by our students. This poster demonstrates our innovative approach to embedding AI literacy within the first-year information literacy program at an R2 research university. We used a two-pronged strategy: an “AI Literacy” section in Canvas and practical demonstrations of applying ChatGPT in live library sessions. The Canvas module section equips students with foundational knowledge and critical thinking about using generative AI for research and learning activities. It covers AI fundamentals, …
Monitoring Water Meniscus Formation At Nanocontacts With Shear-Force Acousto Near-Field Microscopy, Xiaohua Wang, Rodolfo Fernandez, Theodore Brockman, Kacharat Supichayanggoon, Andres H. La Rosa
Monitoring Water Meniscus Formation At Nanocontacts With Shear-Force Acousto Near-Field Microscopy, Xiaohua Wang, Rodolfo Fernandez, Theodore Brockman, Kacharat Supichayanggoon, Andres H. La Rosa
Physics Faculty Publications and Presentations
Shear-force acoustic near-field microscopy (SANM) is employed to monitor stochastic formation and post dynamic response of a water meniscus that bridges a tapered gold probe (undergoing lateral oscillations of a few nanometers amplitude at constant frequency) and a flat (gold or silicon oxide) substrate. As the probe further approaches the substrate, its amplitude decreases. Shear forces (of yet unknown precise origin) are typically invoked to explain the apparently pure damping effects affecting the probe's motion. Herein, SANM measurements underscore instead the role of near-field acoustic emission from the water meniscus as an elastic energy dissipation channel involved in shear interactions. …
Discovering Potential In Non-Cancer Medications: A Promising Breakthrough For Multiple Myeloma Patients., Omar S Al-Odat, Emily Nelson, Tulin Budak-Alpdogan, Subash C. Jonnalagadda, Dhimant Desai, Manoj K Pandey
Discovering Potential In Non-Cancer Medications: A Promising Breakthrough For Multiple Myeloma Patients., Omar S Al-Odat, Emily Nelson, Tulin Budak-Alpdogan, Subash C. Jonnalagadda, Dhimant Desai, Manoj K Pandey
College of Science & Mathematics Departmental Research
Multiple myeloma (MM) is a common type of cancer that unfortunately leads to a significant number of deaths each year. The majority of the reported MM cases are detected in the advanced stages, posing significant challenges for treatment. Additionally, all MM patients eventually develop resistance or experience relapse; therefore, advances in treatment are needed. However, developing new anti-cancer drugs, especially for MM, requires significant financial investment and a lengthy development process. The study of drug repurposing involves exploring the potential of existing drugs for new therapeutic uses. This can significantly reduce both time and costs, which are typically a major …
Comment/Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling Plans (Fsps) For Bres No. 121 – Travona Dump, Bres No. 125 – Child Harold-2 Dump, Bres No. 34e – Eveline Dump East, Bres No. 45 – Garfield, Bres No. 49 – Old Glory, Bres No. 52 – Moscow, Bres No. 74 – West Gagnon Dump, And Bres No. 78 Original Mine (Dated May 7, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Comments For The 2024 Butte Priority Soils (Bpsou) Residential Metals Abatement Program (Rmap) – Quality Assurance Project Plan (Qapp) For Non-Residential Parcels And Residential Daycares (Dated May 23, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final 2024 Residential Metals Abatement Program Mandan Park Soil Rawp (Dated May 10, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final 2024 Residential Metals Abatement Program Park Soil Sampling Field Sampling Plan Submittal #14 [Silver Bow Homes Park, Butte Koa, Fairmont Rv Park, And Cccs Gymnasium] (Dated May 10, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval For The Response To Comments Letter (Dated May 21, 2024) For The Butte Priority Soils Operable Unit (Bpsou) Butte Reclamation Evaluation System (Bres) Draft 2023 Bres Field Evaluation Summary Report And Technical Recommendations Proposal (Dated November 15, 2023) And 2023 Corrective Action Plans (Caps) For Reclaimed Sites (Dated January 31, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2023 (Dated March 28, 2024), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final 2024 Residential Metals Abatement Program Park Soil Sampling Field Sampling Plan Submittal #13 [Copper Mountain Park] (Dated May 10, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Harnessing Redox Polymer Dynamics For Enhanced Glucose-Oxygen Coupling In Dual Biosensing And Therapeutic Applications, Wassim El Housseini, Egor Baiarashov, Rokas Gerulskis, Adam Milam, Shelley D. Minteer
Harnessing Redox Polymer Dynamics For Enhanced Glucose-Oxygen Coupling In Dual Biosensing And Therapeutic Applications, Wassim El Housseini, Egor Baiarashov, Rokas Gerulskis, Adam Milam, Shelley D. Minteer
Chemistry Faculty Research & Creative Works
The burgeoning field of continuous glucose monitoring (CGM) for diabetes management faces significant challenges, particularly in achieving precise and stable biosensor performance under changing environmental conditions such as varying glucose concentrations and O2 levels. To address this, we present a novel biosensor based on the electroless coupling of glucose oxidation catalyzed by flavin-dependent glucose dehydrogenase (FAD-GDH) and O2 reduction catalyzed by bilirubin oxidase (BOD) via a redox polymer, dimethylferrocene-modified linear poly(ethylenimine), FcMe2-LPEI. Initial cyclic voltammetry tests confirm the colocalization of both enzymatic reactions within the potential range of the polymer, indicating an effective electron shuttle mechanism. …
2024 June 27 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
2024 June 27 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Weekly Drought Summaries
No abstract provided.
Assessment And Prediction Of Meteorological Drought Using Machine Learning Algorithms And Climate Data, Khalid En-Nagre, Mourad Aqnouy, Ayoub Ouarka, Syed Ali Asad Naqvi, Ismail Bouizrou, Jamal Eddine Stitou El Messari, Aqil Tariq, Walid Soufan, Wenzhao Li, Hesham El-Askary
Assessment And Prediction Of Meteorological Drought Using Machine Learning Algorithms And Climate Data, Khalid En-Nagre, Mourad Aqnouy, Ayoub Ouarka, Syed Ali Asad Naqvi, Ismail Bouizrou, Jamal Eddine Stitou El Messari, Aqil Tariq, Walid Soufan, Wenzhao Li, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
Monitoring drought in semi-arid regions due to climate change is of paramount importance. This study, conducted in Morocco’s Upper Drâa Basin (UDB), analyzed data spanning from 1980 to 2019, focusing on the calculation of drought indices, specifically the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at multiple timescales (1, 3, 9, 12 months). Trends were assessed using statistical methods such as the Mann-Kendall test and the Sen’s Slope estimator. Four significant machine learning (ML) algorithms, including Random Forest, Voting Regressor, AdaBoost Regressor, and K-Nearest Neighbors Regressor, were evaluated to predict the SPEI values for both three …
Improving Flextype: Ambiguous Text Input For Users With Visual Impairments, Dylan Gaines, Keith Vertanen
Improving Flextype: Ambiguous Text Input For Users With Visual Impairments, Dylan Gaines, Keith Vertanen
Michigan Tech Publications, Part 2
We present an improved version of the FlexType interface for nonvisual text input. FlexType enables nonvisual text input on mobile touchscreen devices by allowing users to select from a small number of character groups with gestures instead of targeting letters at specific screen locations. Based on an interview with users who are blind or low vision, we added a letter-entry mode to enable easier entry of difficult words such as proper nouns. We conducted a longitudinal study with users who are legally blind to compare FlexType to users' typical text input methods. While we found FlexType was significantly slower than …
Lunar: Automated Input Generation And Analysis For Reactive Lammps Simulations, Josh Kemppainen, Jacob R. Gissinger, S. Gowtham, Gregory Odegard
Lunar: Automated Input Generation And Analysis For Reactive Lammps Simulations, Josh Kemppainen, Jacob R. Gissinger, S. Gowtham, Gregory Odegard
Michigan Tech Publications, Part 2
Generating simulation-ready molecular models for the LAMMPS molecular dynamics (MD) simulation software package is a difficult task and impedes the more widespread and efficient use of MD in materials design and development. Fixed-bond force fields generally require manual assignment of atom types, bonded interactions, charges, and simulation domain sizes. A new LAMMPS pre- and postprocessing toolkit (LUNAR) is presented that efficiently builds molecular systems for LAMMPS. LUNAR automatically assigns atom types, generates bonded interactions, assigns charges, and provides initial configuration methods to generate large molecular systems. LUNAR can also incorporate chemical reactivity into simulations by facilitating the use of the …
Thermal Stability Of Amorphous Metal Oxides: The Interplay Of Secondary Cations, Degree Of Substitution, And Local Structure, Li Zeng, D. Bruce Buchholz, Denis T. Keane, Tobin J. Marks, Julia E. Medvedeva, Michael J. Bedzyk
Thermal Stability Of Amorphous Metal Oxides: The Interplay Of Secondary Cations, Degree Of Substitution, And Local Structure, Li Zeng, D. Bruce Buchholz, Denis T. Keane, Tobin J. Marks, Julia E. Medvedeva, Michael J. Bedzyk
Physics Faculty Research & Creative Works
Indium-based amorphous metal oxides (AMOs) are important materials that enable a wide range of electronic and optoelectronic applications. The metal cations that substitute for In are known to effectively tune the material properties as well as to retain the desirable amorphous state when subjected to high operating temperatures. While much attention focuses on property tuning, there is less focus on those fundamental factors that enhance thermal stability. Hence, in this paper, we employ in situ X-ray scattering and ab initio molecular dynamics (MD) to systematically study the effects of secondary cations on the crystallization process. A series of amorphous (In …
Preperiodic Points Of Polynomial Dynamical Systems Over Finite Fields, Aaron Andersen, Derek Garton
Preperiodic Points Of Polynomial Dynamical Systems Over Finite Fields, Aaron Andersen, Derek Garton
Mathematics and Statistics Faculty Publications and Presentations
For a prime p, positive integers r,n, and a polynomial f with coefficients in Fpr, let Wp,r,n(f) = fn(Fpr) ∖ fn+1(Fpr). As n varies, the Wp,r,n(f) partition the set of strictly preperiodic points of the dynamical system induced by the action of f on Fpr. In this paper we compute statistics of strictly preperiodic points of dynamical systems induced by unicritical polynomials over finite fields by obtaining effective upper bounds for the proportion of Fpr lying in a given Wp,r,n(f). Moreover, when we generalize our definition of Wp,r,n(f), we obtain both upper and lower bounds for the resulting averages.
Optical Modeling Of Systematic Uncertainties In Detector Polarization Angles For The Atacama Cosmology Telescope, Colin C. Murphy, Steve K. Choi, Rahul Datta, Mark J. Devlin, Matthew Hasselfield, Brian J. Koopman, Jeff Mcmahon, Sigurd Naess, Michael D. Niemack, Lyman A. Page, Suzanne T. Staggs, Robert J. Thornton, Edward J. Wollack
Optical Modeling Of Systematic Uncertainties In Detector Polarization Angles For The Atacama Cosmology Telescope, Colin C. Murphy, Steve K. Choi, Rahul Datta, Mark J. Devlin, Matthew Hasselfield, Brian J. Koopman, Jeff Mcmahon, Sigurd Naess, Michael D. Niemack, Lyman A. Page, Suzanne T. Staggs, Robert J. Thornton, Edward J. Wollack
Physics & Engineering Faculty Publications
We present an estimate of the Atacama Cosmology Telescope (ACT) detector polarization angle systematic uncertainty from optics perturbation analysis using polarization-sensitive ray tracing in CODE V optical design software. Uncertainties in polarization angle calibration in CMB measurements can limit constraints on cosmic birefringence and other cosmological parameters sensitive to polarization leakage. Our framework estimates the angle calibration systematic uncertainties from possible displacements in lens positions and orientations, and anti-reflection coating (ARC) thicknesses and refractive indices. With millimeter displacements in lens positions and percent-level perturbations in ARC thicknesses and indices from design, we find the total systematic uncertainty for three ACT …
Mechanistic Rationale For Ketene Formation During Dabbing And Vaping, Kaelas R. Munger, Killian M. Anreise, Robert P. Jensen, David H. Peyton, Robert M. Strongin
Mechanistic Rationale For Ketene Formation During Dabbing And Vaping, Kaelas R. Munger, Killian M. Anreise, Robert P. Jensen, David H. Peyton, Robert M. Strongin
Chemistry Faculty Publications and Presentations
Ketene is one of the most toxic vaping emissions identified to date. However, its high reactivity renders it relatively challenging to identify. In addition, certain theoretical studies have shown that realistic vaping temperature settings may betoo low to produce ketene. Each of these issues is addressed herein. First, an isotopically labeled acetate precursor is used for the identification of ketene with enhanced rigor in vaped aerosols. Second, discrepancies between theoretical and experimental findings are explained by accounting for the effects of aerobic (experimental) versus anaerobic (simulated and theoretical) pyrolysis conditions. This finding is also relevant to explaining the relatively low-temperature …
Interpenetrated Lattices Of Quaternary Chalcogenides Displaying Magnetic Frustration, High Na-Ion Conductivity, And Cation Redox In Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Srikanth Balijapelly, Sudip Mohapatra, Sutapa Bhattacharya, Kartik Ghosh, Amitava Choudhury
Interpenetrated Lattices Of Quaternary Chalcogenides Displaying Magnetic Frustration, High Na-Ion Conductivity, And Cation Redox In Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Srikanth Balijapelly, Sudip Mohapatra, Sutapa Bhattacharya, Kartik Ghosh, Amitava Choudhury
Chemistry Faculty Research & Creative Works
A series of quaternary selenides, NaxMGaSe4 (M = Mn, Fe, and mixed Zn/Fe), have been synthesized for the first time employing a high-temperature solid-state synthesis route through stochiometric or polychalcogenide flux reactions. Along with the selenides, a previously reported sulfide analogue, NaxFeGaS4, is also revisited with new findings. These compounds form an interpenetrated structure made up of a supertetrahedral unit. The electrochemical evaluations exhibit a reversible (de)intercalation of ∼0.6 and ∼0.45 Na-ions, respectively, from Na2.87FeGaS4 (1a) and Na2.5FeGaSe4 (2) involving Fe2+/Fe3+ redox when cycled between 1.5 and 2.5 …
Automating An Industrial Dishwashing System Using Hardware-In-The-Loop Plc Simulation With Factory I/O, Paniz Khanmohammadi Hazaveh, Nathir Rawashdeh, Dunsten M. X. Dsouza, Joshua Olusola, Joshua Albrecht, Eric Houck
Automating An Industrial Dishwashing System Using Hardware-In-The-Loop Plc Simulation With Factory I/O, Paniz Khanmohammadi Hazaveh, Nathir Rawashdeh, Dunsten M. X. Dsouza, Joshua Olusola, Joshua Albrecht, Eric Houck
Michigan Tech Publications, Part 2
While industrial automation is growing in many industries, the hospitality industry has not seen much technological innovation recently. This leaves a wealth of potential for the implementation of automated solutions, especially at large-scale operations, like university dining halls or cruise ship restaurants. This paper details a student project developed in the advanced programmable logic controllers class. It is part of the master program in mechatronics. Students work in groups in a creative setting, where they learn to integrate various automation technologies and learn to write scientific publications. The project implements the automation of a student dining hall dishwashing system using …