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Articles 123151 - 123180 of 1114135
Full-Text Articles in Entire DC Network
New Chemical Dopant And Counterion Mechanism For Organic Electrochemical Transistors And Organic Mixed Ionic–Electronic Conductors, Vianna N. Le, Joel H. Bombile, Gehan S. Rupasinghe, Kyle N. Baustert, Ruipeng Li, Iuliana P. Maria, Maryam Shahi, Paula Alacon Espejo, Iain Mcculloch, Kenneth R. Graham, Chad Risko, Alexandra F. Paterson
New Chemical Dopant And Counterion Mechanism For Organic Electrochemical Transistors And Organic Mixed Ionic–Electronic Conductors, Vianna N. Le, Joel H. Bombile, Gehan S. Rupasinghe, Kyle N. Baustert, Ruipeng Li, Iuliana P. Maria, Maryam Shahi, Paula Alacon Espejo, Iain Mcculloch, Kenneth R. Graham, Chad Risko, Alexandra F. Paterson
Chemistry Faculty Publications
Organic mixed ionic–electronic conductors (OMIECs) have varied performance requirements across a diverse application space. Chemically doping the OMIEC can be a simple, low-cost approach for adapting performance metrics. However, complex challenges, such as identifying new dopant materials and elucidating design rules, inhibit its realization. Here, these challenges are approached by introducing a new n-dopant, tetrabutylammonium hydroxide (TBA-OH), and identifying a new design consideration underpinning its success. TBA-OH behaves as both a chemical n-dopant and morphology additive in donor acceptor co-polymer naphthodithiophene diimide-based polymer, which serves as an electron transporting material in organic electrochemical transistors (OECTs). The combined effects enhance OECT …
Loss Of Function Mutation In Ank Causes Aberrant Mineralization And Acquisition Of Osteoblast-Like-Phenotype By The Cells Of The Intervertebral Disc, Takashi Ohnishi, Victoria Tran, Kimheak Sao, Pranay Ramteke, William Querido, Ruteja A. Barve, Koen Van De Wetering, Makarand V. Risbud
Loss Of Function Mutation In Ank Causes Aberrant Mineralization And Acquisition Of Osteoblast-Like-Phenotype By The Cells Of The Intervertebral Disc, Takashi Ohnishi, Victoria Tran, Kimheak Sao, Pranay Ramteke, William Querido, Ruteja A. Barve, Koen Van De Wetering, Makarand V. Risbud
Department of Orthopaedic Surgery Faculty Papers
Pathological mineralization of intervertebral disc is debilitating and painful and linked to disc degeneration in a subset of human patients. An adenosine triphosphate efflux transporter, progressive ankylosis (ANK) is a regulator of extracellular inorganic pyrophosphate levels and plays an important role in tissue mineralization. However, the function of ANK in intervertebral disc has not been fully explored. Herein we analyzed the spinal phenotype of Ank mutant mice (ank/ank) with attenuated ANK function. Micro-computed tomography and histological analysis showed that loss of ANK function results in the aberrant annulus fibrosus mineralization and peripheral disc fusions with cranial to caudal progression in …
Bound Preserving Numerical Methods For Infiltration, Arnob Barua
Bound Preserving Numerical Methods For Infiltration, Arnob Barua
LSU Master's Theses
Simulating the infiltration process in variably saturated media by solving Richards' Equation (RE) remains a computationally challenging task. The degenerate parabolic nature of RE, along with the strongly nonlinear coefficients, makes it very difficult to obtain accurate solutions with conventional numerical methods unless highly refined meshes are used. That is, in the conventional Finite Element Method (FEM), the grid size has to be fine enough to ensure convergence and limit non-physical oscillations, which is computationally expensive. This research aims to develop a second-order accurate FEM discretization with no non-physical oscillations for RE on unstructured meshes which will converge faster than …
May Microbial Ecological Baseline Exist In Continental Groundwater?, Sining Zhong, Shungui Zhou, S Liu, Jiawen Wang, Chenyuan Dang, Qian Chen, Jinyun Hu, Shanqing Yang, Chunfang Deng, Wenpeng Li, J Liu, Alistair G.L. Borthwick, Jinren Ni
May Microbial Ecological Baseline Exist In Continental Groundwater?, Sining Zhong, Shungui Zhou, S Liu, Jiawen Wang, Chenyuan Dang, Qian Chen, Jinyun Hu, Shanqing Yang, Chunfang Deng, Wenpeng Li, J Liu, Alistair G.L. Borthwick, Jinren Ni
School of Engineering, Computing and Mathematics
Background Microbes constitute almost the entire biological community in subsurface groundwater and play an important role in ecological evolution and global biogeochemical cycles. Ecological baseline as a fundamental reference with less human interference has been investigated in surface ecosystems such as soils, rivers, and ocean, but the existence of groundwater microbial ecological baseline (GMEB) is still an open question so far. Results Based on high-throughput sequencing information derived from national monitoring of 733 newly constructed wells, we find that bacterial communities in pristine groundwater exhibit a significant lateral diversity gradient and gradually approach the topsoil microbial latitudinal diversity gradient with …
C Spire Opens Insight Park Office, Debbie Nelson
C Spire Opens Insight Park Office, Debbie Nelson
University of Mississippi News
OXFORD, Miss. – C Spire, a diversified telecommunications and technology services company, has expanded its Oxford office, relocating into Insight Park at the University of Mississippi and elevating the Mississippi-based company’s partnership with the university.
Generative Relevance Feedback With Large Language Models, Iain Mackie, Shubham Chatterjee, Jeffrey Dalton
Generative Relevance Feedback With Large Language Models, Iain Mackie, Shubham Chatterjee, Jeffrey Dalton
Computer Science Faculty Research & Creative Works
Current query expansion models use pseudo-relevance feedback to improve first-pass retrieval effectiveness; however, this fails when the initial results are not relevant. Instead of building a language model from retrieved results, we propose Generative Relevance Feedback (GRF) that builds probabilistic feedback models from long-form text generated from Large Language Models. We study the effective methods for generating text by varying the zero-shot generation subtasks: queries, entities, facts, news articles, documents, and essays. We evaluate GRF on document retrieval benchmarks covering a diverse set of queries and document collections, and the results show that GRF methods significantly outperform previous PRF methods. …
Neuro-Symbolic Representations For Information Retrieval, Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeff Dalton, Jian Yun Nie, Rodrigo Nogueira
Neuro-Symbolic Representations For Information Retrieval, Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeff Dalton, Jian Yun Nie, Rodrigo Nogueira
Computer Science Faculty Research & Creative Works
This tutorial will provide an overview of recent advances on neuro-symbolic approaches for information retrieval. A decade ago, knowledge graphs and semantic annotations technology led to active research on how to best leverage symbolic knowledge. At the same time, neural methods have demonstrated to be versatile and highly effective. From a neural network perspective, the same representation approach can service document ranking or knowledge graph reasoning. End-to-end training allows to optimize complex methods for downstream tasks. We are at the point where both the symbolic and the neural research advances are coalescing into neuro-symbolic approaches. The underlying research questions are …
Fsec Meeting Minutes July 19, 2023, University Of Rhode Island Faculty Senate
Fsec Meeting Minutes July 19, 2023, University Of Rhode Island Faculty Senate
Faculty Senate Executive Committee Minutes
No abstract provided.
Compensation Of Seeding Bias For Particle Tracking Velocimetry In Turbulent Flows, Thomas Barois, Bianca Viggiano, Thomas Basset, Raúl Bayoán Cal, Romain Volk, Mathieu Gibert, Mickael Bourgoin
Compensation Of Seeding Bias For Particle Tracking Velocimetry In Turbulent Flows, Thomas Barois, Bianca Viggiano, Thomas Basset, Raúl Bayoán Cal, Romain Volk, Mathieu Gibert, Mickael Bourgoin
Mechanical and Materials Engineering Faculty Publications and Presentations
When a fluid in turbulent motion is tagged by a nonuniform concentration of ideal tracers, the mean velocity of the tracers may not match with the mean velocity of the fluid flow. This implies that conventional particle tracking velocimetry will not produce the mean flow of a turbulent flow unless the particle seeding is homogeneous. In this work, we consider the problem of mean flow estimation from a set of particle tracks obtained in a situation of nonhomogeneous seeding. To compensate the bias caused by the nonhomogeneous particle seeding, we propose a modified particle tracking velocimetry method. This method is …
Supplemental Files: Laser Scanner-Based Robotic Coordinate Measuring Machine, Vladimir Gurau
Supplemental Files: Laser Scanner-Based Robotic Coordinate Measuring Machine, Vladimir Gurau
Datasets
This data represents the LabView and C++ software necessary to operate the coordinate measuring machine (CMM) described in the related publication, as well as raw data results representing the digitized model of a section of a turbine blade obtained using the CMM. This data is shared as supplemental material for the related publication: V. Gurau, A. Gerhardstein, K. Carruthers and H. Frazer: “Laser Scanner-Based Robotic Coordinate Measuring Machine”, in International Journal of Mechanical Engineering and Robotics Research (2023).
The Effect Of Heating Area And Wheatstone Bridge Materials On A Thermally Actuated Mems Viscosity Sensor, Connor Michael Levine
The Effect Of Heating Area And Wheatstone Bridge Materials On A Thermally Actuated Mems Viscosity Sensor, Connor Michael Levine
Theses
Being able to accurately measure oil viscosity in real time is critical for multiple applications. It can ensure that the oil being used to protect and lubricate gears and other mechanical elements is good. To do this a thermally actuated micro electromechanical systems (MEMS) based sensor has been previously developed. The sensor is able to measure viscosity by having the fluid couple with the oscillating diaphragm and monitoring the frequency, amplitude and quality factor of the waveform. To improve the accuracy of the sensor, 5 different versions were created to study the effects of heating area and the sensing material …
Destins De Femmes: French Women Writers, 1750-1850, John C. Isbell
Destins De Femmes: French Women Writers, 1750-1850, John C. Isbell
Writing and Language Studies Faculty Publications
Destins de femmes is the first comprehensive overview of French women writers during the turbulent period of 1750-1850. John Isbell provides an essential collection that illuminates the impact women writers had on French literature and politics during a time marked by three revolutions, the influx of Romantic art, and rapid technological change. Each of the book’s thirty chapters introduces a prominent work by a different female author writing in French during the period, from Germaine de Staël to George Sand, from the admired salon libertine Marie du Deffand to Flora Tristan, tireless campaigner for socialism and women’s rights. Isbell draws …
Sars‑Cov‑2 Entry Into And Evolution Within A Skilled Nursing Facility, Nicole R. Sexton, Parker Parker Cline, Emily N. Gallichotte, Emily Fitzmeyer, Michael C. Young, Ashley J. Janich, Kristy L. Pabilonia, Nicole Ehrhart, Gregory D. Ebel
Sars‑Cov‑2 Entry Into And Evolution Within A Skilled Nursing Facility, Nicole R. Sexton, Parker Parker Cline, Emily N. Gallichotte, Emily Fitzmeyer, Michael C. Young, Ashley J. Janich, Kristy L. Pabilonia, Nicole Ehrhart, Gregory D. Ebel
Nebraska Center for Virology: Faculty Publications
SARS-CoV-2 belongs to the family Coronaviridae which includes multiple human pathogens that have an outsized impact on aging populations. As a novel human pathogen, SARS-CoV-2 is undergoing continuous adaptation to this new host species and there is evidence of this throughout the scientific and public literature. However, most investigations of SARS-CoV-2 evolution have focused on largescale collections of data across diverse populations and/or living environments. Here we investigate SARS-CoV-2 evolution in epidemiologically linked individuals within a single outbreak at a skilled nursing facility beginning with initial introduction of the pathogen. The data demonstrate that SARSCoV- 2 was introduced to the …
Computation Of The Basic Reproduction Numbers For Reaction-Diffusion Epidemic Models, Chayu Yang, Jin Wang
Computation Of The Basic Reproduction Numbers For Reaction-Diffusion Epidemic Models, Chayu Yang, Jin Wang
Department of Mathematics: Faculty Publications
We consider a class of k-dimensional reaction-diusion epidemic models (k = 1; 2; • • • ) that are developed from autonomous ODE systems. We present a computational approach for the calculation and analysis of their basic reproduction numbers. Particularly, we apply matrix theory to study the relationship between the basic reproduction numbers of the PDE models and those of their underlying ODE models. We show that the basic reproduction numbers are the same for these PDE models and their associated ODE models in several important scenarios. We additionally provide two numerical examples to verify our analytical results.
Emerging From Content And Language Integrated Learning And English-Medium Instruction, Is Clil-Ised Emi The Next Trend Of Education?, Hengzhi Hu
Higher Learning Research Communications
Objectives: The text aims to present a comparison of Content and Language Integrated Learning (CLIL) and English-Medium Instruction (EMI), followed by a discussion of CLIL-ised EMI, a new educational phenomenon, regarding its feasibility in content-based bilingual programmes.
Method: The ideas presented in this paper are principally drawn from previous research and literature about CLIL and EMI, as well as from my personal experience with content-based bilingual education programmes.
Results: Although CLIL and EMI differ in nature, CLIL-ised EMI supplements traditional EMI, which has a single objective of content learning, with special attention to students’ needs, particularly their …
Research Data Management Practices And Challenges In Academic Libraries: A Comprehensive Review, Subaveerapandiyan A
Research Data Management Practices And Challenges In Academic Libraries: A Comprehensive Review, Subaveerapandiyan A
Library Philosophy and Practice (e-journal)
This comprehensive review article delves into the current landscape of research data management (RDM) practices and challenges faced by academic libraries across various regions. Utilizing a wide range of studies and data collected from different countries, this article aims to provide a comprehensive overview of the state of RDM services, the role of librarians, and the advancements in technology within academic libraries. The review explores the importance of RDM in supporting open science, data sharing, and reproducibility while also shedding light on areas that require further development and improvement.
Addressing The Ocean-Climate Nexus In The Bbnj Agreement: Strategic Environmental Assessments, Human Rights And Equity In Ocean Science, Elisa Morgera, Kirsty Mcquaid, Giulia La Bianca, Holly Niner, Lynne Shannon, Mia Strand, Sian Rees, Kerry Howell, Bernadette Snow, Alana Malinde Sn Lancaster, Warwick Sauer
Addressing The Ocean-Climate Nexus In The Bbnj Agreement: Strategic Environmental Assessments, Human Rights And Equity In Ocean Science, Elisa Morgera, Kirsty Mcquaid, Giulia La Bianca, Holly Niner, Lynne Shannon, Mia Strand, Sian Rees, Kerry Howell, Bernadette Snow, Alana Malinde Sn Lancaster, Warwick Sauer
School of Biological and Marine Sciences
The Agreement on Marine Biodiversity of Areas beyond National Jurisdiction (BBNJ Agreement) opens a new path in international law towards addressing issues at the ocean-climate nexus, as well as considering implications for the protection of human rights and achieving equity among States in the context of ocean knowledge production and environmental management. Based on an interdisciplinary reflection, the new international obligations on strategic environmental assessments (SEAs), and new institutional arrangements, are identified as crucial avenues to addressing climate change mitigation and ensuring fair research partnerships, mutual capacity-building and technology co-development between the Global North and South. SEAs can also support …
Coastal Environments: Mine Discharges And Infringements On Indigenous Peoples’ Rights, Charles Kerfoot, Gary Swain, Luis M. Verissimo, Erin Johnston, Carol Maclennan, Daniel Schneider, Noel Urban
Coastal Environments: Mine Discharges And Infringements On Indigenous Peoples’ Rights, Charles Kerfoot, Gary Swain, Luis M. Verissimo, Erin Johnston, Carol Maclennan, Daniel Schneider, Noel Urban
Michigan Tech Publications
Over a century ago, copper mills on the Keweenaw Peninsula of Lake Superior sluiced 64 million metric tonnes (MMT) of tailings into coastal waters, creating a metal-rich “halo”. Here we show that relatively small discharges can spread widely in time and space. Mass Mill (2.9 MMT) dumping into Lake Superior also illustrates the complexity of interactions with Indigenous Peoples. A combination of aerial photos, LiDAR, and a microscope technique for distinguishing end-member particles traces the migration of tailings. The clay fraction spread rapidly across Keweenaw Bay and curled into terminal L’Anse Bay, within tribal Reservation boundaries. The coarse stamp sand …
Segmentation Of Human Functional Tissue Units In Support Of A Human Reference Atlas, Yashvardhan Jain, Leah L Godwin, Yingnan Ju, Naveksha Sood, Ellen M Quardokus, Andreas Bueckle, Teri Longacre, Aaron Horning, Yiing Lin, Edward D Esplin, John W Hickey, Michael P Snyder, Nathan Heath Patterson, Jeffrey M Spraggins, Katy Börner
Segmentation Of Human Functional Tissue Units In Support Of A Human Reference Atlas, Yashvardhan Jain, Leah L Godwin, Yingnan Ju, Naveksha Sood, Ellen M Quardokus, Andreas Bueckle, Teri Longacre, Aaron Horning, Yiing Lin, Edward D Esplin, John W Hickey, Michael P Snyder, Nathan Heath Patterson, Jeffrey M Spraggins, Katy Börner
2020-Current year OA Pubs
The Human BioMolecular Atlas Program (HuBMAP) aims to compile a Human Reference Atlas (HRA) for the healthy adult body at the cellular level. Functional tissue units (FTUs), relevant for HRA construction, are of pathobiological significance. Manual segmentation of FTUs does not scale; highly accurate and performant, open-source machine-learning algorithms are needed. We designed and hosted a Kaggle competition that focused on development of such algorithms and 1200 teams from 60 countries participated. We present the competition outcomes and an expanded analysis of the winning algorithms on additional kidney and colon tissue data, and conduct a pilot study to understand spatial …
Loss Of Function Mutation In Ank Causes Aberrant Mineralization And Acquisition Of Osteoblast-Like-Phenotype By The Cells Of The Intervertebral Disc, Takashi Ohnishi, Victoria Tran, Kimheak Sao, Pranay Ramteke, William Querido, Ruteja A Barve, Koen Van De Wetering, Makarand V Risbud
Loss Of Function Mutation In Ank Causes Aberrant Mineralization And Acquisition Of Osteoblast-Like-Phenotype By The Cells Of The Intervertebral Disc, Takashi Ohnishi, Victoria Tran, Kimheak Sao, Pranay Ramteke, William Querido, Ruteja A Barve, Koen Van De Wetering, Makarand V Risbud
2020-Current year OA Pubs
Pathological mineralization of intervertebral disc is debilitating and painful and linked to disc degeneration in a subset of human patients. An adenosine triphosphate efflux transporter, progressive ankylosis (ANK) is a regulator of extracellular inorganic pyrophosphate levels and plays an important role in tissue mineralization. However, the function of ANK in intervertebral disc has not been fully explored. Herein we analyzed the spinal phenotype of Ank mutant mice (ank/ank) with attenuated ANK function. Micro-computed tomography and histological analysis showed that loss of ANK function results in the aberrant annulus fibrosus mineralization and peripheral disc fusions with cranial to caudal progression in …
A Risk Assessment For The Remote Ocean: The Case Of The South East Atlantic, Holly J. Niner, Siân E. Rees, Giulia La Bianca, Kirsty A. Mcquaid, Kerry L. Howell
A Risk Assessment For The Remote Ocean: The Case Of The South East Atlantic, Holly J. Niner, Siân E. Rees, Giulia La Bianca, Kirsty A. Mcquaid, Kerry L. Howell
School of Biological and Marine Sciences
Degradation of the natural world and associated ecosystem services is attributed to a historical failure to include its ‘value’ in decision-making. Uncertainty in the quantification of the relationship between natural capital ‘assets’ that give rise to critical societal benefits and people is one reason for the omission of these values from natural resource management. As this uncertainty increases in marine systems and further still with distance from the coast, the connection between society and natural capital assets is less likely to be included adequately in decision-making. Natural capital assets of Areas Beyond National Jurisdiction (ABNJ), including those of the deep …
Modern Corporate Insolvency Regime In India: A Review, Vijay Kumar Singh
Modern Corporate Insolvency Regime In India: A Review, Vijay Kumar Singh
National Law School Business Law Review
No abstract provided.
An Enhanced Adaptive Learning System Based On Microservice Architecture, Abdelsalam Helmy Ibrahim, Mohamed Eliemy, Aliaa Abdelhalim Youssif
An Enhanced Adaptive Learning System Based On Microservice Architecture, Abdelsalam Helmy Ibrahim, Mohamed Eliemy, Aliaa Abdelhalim Youssif
Future Computing and Informatics Journal
This study aims to enhance Adaptive Learning Systems (ALS) in Petroleum Sector in Egypt by using the Microservice Architecture and measure the impact of enhancing ALS by participating ALS users through a statistical study and questionnaire directed to them if they accept to apply the Cloud Computing Service “Microservices” to enhance the ALS performance, quality and cost value or not. The study also aims to confirm that there is a statistically significant relationship between ALS and Cloud Computing Service “Microservices” and prove the impact of enhancing the ALS by using Microservices in the cloud in Adaptive Learning in the Egyptian …
Risk Assessment Approaches In Banking Sector –A Survey, Mona Sharaf, Shimaa Mohamed Ouf, Amira M. Idrees Ami
Risk Assessment Approaches In Banking Sector –A Survey, Mona Sharaf, Shimaa Mohamed Ouf, Amira M. Idrees Ami
Future Computing and Informatics Journal
Prediction analysis is a method that makes predictions based on the data currently available. Bank loans come with a lot of risks to both the bank and the borrowers. One of the most exciting and important areas of research is data mining, which aims to extract information from vast amounts of accumulated data sets. The loan process is one of the key processes for the banking industry, and this paper examines various prior studies that used data mining techniques to extract all served entities and attributes necessary for analytical purposes, categorize these attributes, and forecast the future of their business …
News’ Credibility Detection On Social Media Using Machine Learning Algorithms, Farah Yasser, Sayed Abdelmawgoud, Amira M. Idrees Ami
News’ Credibility Detection On Social Media Using Machine Learning Algorithms, Farah Yasser, Sayed Abdelmawgoud, Amira M. Idrees Ami
Future Computing and Informatics Journal
Social media is essential in many aspects of our lives. Social media allows us to find news for free. anyone can access it easily at any time. However, social media may also facilitate the rapid spread of misleading news. As a result, there is a probability that low-quality news, including incorrect and fake information, will spread over social media. As well as detecting news credibility on social media becomes essential because fake news can affect society negatively, and the spread of false news has a considerable impact on personal reputation and public trust. In this research, we conducted a model …
Visual Question Answering: A Survey, Gehad Assem El-Naggar
Visual Question Answering: A Survey, Gehad Assem El-Naggar
Future Computing and Informatics Journal
Visual Question Answering (VQA) has been an emerging field in computer vision and natural language processing that aims to enable machines to understand the content of images and answer natural language questions about them. Recently, there has been increasing interest in integrating Semantic Web technologies into VQA systems to enhance their performance and scalability. In this context, knowledge graphs, which represent structured knowledge in the form of entities and their relationships, have shown great potential in providing rich semantic information for VQA. This paper provides an abstract overview of the state-of-the-art research on VQA using Semantic Web technologies, including knowledge …
A Newfangled Interpretation On Fermatean Neutrosophic Dombi Fuzzy Graphs, D. Sasikala, B. Divya
A Newfangled Interpretation On Fermatean Neutrosophic Dombi Fuzzy Graphs, D. Sasikala, B. Divya
Neutrosophic Systems with Applications
Neutrosophic Dombi fuzzy graph is an advancement of the Dombi fuzzy graph and intuitionistic Dombi fuzzy graph. In this paper, we have initiated a new concept of the Fermatean neutrosophic Dombi fuzzy graph. Further, we identified a few products of the direct, cartesian, composition of Fermatean neutrosophic Dombi fuzzy graphs. Also, we examined the related proposition with suitable illustrations with graphs.
In Pursuit Of A Silver Bullet For Pet Population Control: A Chemical Sterilant For Dogs And Cats, Andrew Rowan
In Pursuit Of A Silver Bullet For Pet Population Control: A Chemical Sterilant For Dogs And Cats, Andrew Rowan
Tales of WellBeing
Recent research has produced a chemical sterilant for cats that is effective and safe. Now, it must be approved for use by the regulatory agencies.
The Asian Elephant And Its Interaction With People And The Environment, Andrew Rowan
The Asian Elephant And Its Interaction With People And The Environment, Andrew Rowan
Tales of WellBeing
Is the Asian Elephant an example of a self-domesticated species, and if so, how should the species be managed?
Quantifying The Impact Of The 2022 Formula One Technical Regulations On Wake Turbulence: A Numerical Analysis, Luis A. Méndez
Quantifying The Impact Of The 2022 Formula One Technical Regulations On Wake Turbulence: A Numerical Analysis, Luis A. Méndez
Honors Theses
For the 2022 Formula One (F1) season, the Federation Internationale de l’Automobile (FIA) introduced a new set of technical regulations that reduce the complexity of the aerodynamic devices such as the spoilers, often called wings. The objective of this regulation change is to reduce the amount of turbulence produced, which should allow the cars to trail behind one another closer and make for easier overtaking, thereby increasing the competitiveness of the sport. The present study evaluates and quantifies the aerodynamic performance of a 2022 F1 car by using computational fluid dynamic (CFD) analyses. Both a study of a 2022 specification …