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High Data Rate Signal Processing Architectures And Compilation Strategies For Scalable, Multi-Gigabit Digital Systems, Daniel Alexander Nybo Apr 2024

High Data Rate Signal Processing Architectures And Compilation Strategies For Scalable, Multi-Gigabit Digital Systems, Daniel Alexander Nybo

Theses and Dissertations

In this study we present a high-performance computing architecture and hardware acceleration strategy for a heterogeneous multi-gigabit computing system. The system architecture integrates a BeeGFS distributed file system, capable of achieving 80 Gbps of sustained write throughput across five nodes, essential for managing the high data volumes generated by a 25 high performance computer (HPC) compute cluster. To ensure operational efficiency and scalability, the tasks performed on the Linux compute cluster consisting of 30 nodes are automated using Ansible, facilitating seamless deployment, management, and updates. We present compilation strategies for a hardware accelerated Polyphase Filter Bank (PFB) channelization routine optimized …


Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization Apr 2024

Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization

Human-Machine Communication

This is the complete volume of HMC Volume 7. Special Issue on Mediatization


Artificial Sociality, Simone Natale, Iliana Depounti Apr 2024

Artificial Sociality, Simone Natale, Iliana Depounti

Human-Machine Communication

This article proposes the notion of Artificial Sociality to describe communicative AI technologies that create the impression of social behavior. Existing tools that activate Artificial Sociality include, among others, Large Language Models (LLMs) such as ChatGPT, voice assistants, virtual influencers, socialbots and companion chatbots such as Replika. The article highlights three key issues that are likely to shape present and future debates about these technologies, as well as design practices and regulation efforts: the modelling of human sociality that foregrounds it, the problem of deception and the issue of control from the part of the users. Ethical, social and cultural …


Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, Andreas Hepp, Göran Bolin, Andrea L. Guzman, Wiebke Loosen Apr 2024

Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, Andreas Hepp, Göran Bolin, Andrea L. Guzman, Wiebke Loosen

Human-Machine Communication

As research fields, mediatization and Human-Machine Communication (HMC) have distinct historical trajectories. While mediatization research is concerned with the fundamental interrelation between the transformation of media and communications and cultural and societal changes, the much younger field of HMC delves into human meaning-making in interactions with machines. However, the recent wave of “deep mediatization,” characterized by an increasing emphasis on general communicative automation and the rise of communicative AI, highlights a shared interest in technology’s role within human interaction. This introductory article examines the trajectories of both fields, demonstrating how mediatization research “zooms out” from overarching questions of societal and …


Phase Separation And Morphology Evolution Of Multiphase Polymeric Systems, Rami Naser Fahmi Alhasan Apr 2024

Phase Separation And Morphology Evolution Of Multiphase Polymeric Systems, Rami Naser Fahmi Alhasan

Theses and Dissertations

This dissertation explores the intricate world of soft materials through a powerful synergy of theoretical frameworks and cutting-edge computational simulations. The research investigates how processing history, thermodynamics, and kinetics intertwine to influence the behavior and manipulation of these materials. A cornerstone of the work is the establishment of a generalized Gibbs--Duhem relationship, ensuring thermodynamic consistency within the employed models. This not only clarifies existing ambiguities but also lays the groundwork for future models with a robust thermodynamic foundation. This dissertation explores the influence of processing history on soft materials through three in-depth case studies, unveiling the critical role of processing …


Research On 3d Printing Resin Exposure Properties And Its Application On Centrifugal Microfluidic Platform Based On Fluorescence Detection, Zheng Qiao Apr 2024

Research On 3d Printing Resin Exposure Properties And Its Application On Centrifugal Microfluidic Platform Based On Fluorescence Detection, Zheng Qiao

LSU Doctoral Dissertations

This dissertation encapsulates significant advancements in the field of SLA 3D printing and centrifugal microfluidics. Central to the research is the development of a novel mathematical model for predicting trapped resin thickness in SLA 3D printing, a groundbreaking contribution that addresses a critical aspect of printing intricate structures. This model, the first to establish a mathematical relationship for resin thickness, is rooted in a comprehensive study of the resin curing process. The research leverages the concept of 'critical dosage' for resin curing, leading to a more refined and theoretically grounded approach for calculating curing thickness. Experimentation further validates the model, …


Density Fluctuations Measurements In Supersonic Flows, Allie Dingfield, Davide Vigano Apr 2024

Density Fluctuations Measurements In Supersonic Flows, Allie Dingfield, Davide Vigano

Undergraduate Research Conference at Missouri S&T

Turbulence in compressible flows plays a major role in a variety of aerospace applications. However, due to fluctuating thermodynamic quantities, compressible turbulence is challenging to analyze. Of these quantities, density fluctuations are of high importance due to their role in describing turbulence. A method to obtain quantitative measurements of density fluctuations has been developed using the optical technique of shadowgraph imaging. Shadowgraph imaging has frequently been used to obtain qualitative information about density gradients in fluids. However, quantitative application of these methods is much less common. The quantitative shadowgraph method presented here relates the light intensity variations in an image …


Combined Radiation And Convection In Developing Flow In A Parallel Plate Channel With Real Gas Behavior, Kyle Davis Pulsipher Apr 2024

Combined Radiation And Convection In Developing Flow In A Parallel Plate Channel With Real Gas Behavior, Kyle Davis Pulsipher

Theses and Dissertations

The laminar, thermally developing flow of gases in a two-dimensional parallel plate channel is studied here. Using computational fluid dynamics (CFD), the combined effects of convection and real gas radiation are explored. Gas mixtures composed of H2O, CO2, and N2 are considered. To account for radiation in the participating medium, the Spectral Line Weighted-sum-of-gray-gases model is used. The model formulation, verification, and validation are provided through published articles written by the primary author. The predictions made for the case of combined convection and radiation are compared to the solution for the classical pure convection case, known as the Graetz solution. …


Quantifying And Characterizing The Behavior Of Dissolved And Suspended Icp-Oes Detectible Elements In Utah Lake, Rachel Ann Valek Apr 2024

Quantifying And Characterizing The Behavior Of Dissolved And Suspended Icp-Oes Detectible Elements In Utah Lake, Rachel Ann Valek

Theses and Dissertations

For Utah Lake in Utah, USA, we analyzed a uniquely comprehensive and longitudinal water quality dataset that extended over two summer sampling seasons. We measured 61 parameters using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), YSI ProDSS water sondes, and laboratory procedures to quantify and characterize dissolved and suspended behavior of trace elements in Utah Lake. We analyzed the data using principal component analysis (PCA) and multidimensional scaling (MDS) to understand the lake geochemistry and inform Utah Lake management decisions regarding nutrients and algal blooms. We found that 1) sediments rich in phosphorus (P) act as a source for bioavailable …


Investigating Which Muscles Are Most Responsible For Tremor Through Both Experimental Data And Simulation, Daniel Benjamin Free Apr 2024

Investigating Which Muscles Are Most Responsible For Tremor Through Both Experimental Data And Simulation, Daniel Benjamin Free

Theses and Dissertations

Tremor affects millions of people and many patients desire alternative treatment options to medication or neural surgery. Peripheral suppression techniques are gaining greater use, but are currently applied in a trial-and-error method. To optimize these techniques, the muscles most responsible for an individual patient's tremor need to be identified. In this dissertation, I explored two parallel paths that both could aid in identifying muscles responsible for tremor. The first method utilizies measured data and a technique (coherence) that quantifies the frequency dependent correlation between two signals. Using coherence to identify muscles contributing to tremor requires at least two parts: an …


Meso-Scale Seabed Quantification With Geoacoustic Inversion, Tim Sonnemann, Jan Dettmer, Charles W. Holland, Stan E. Dosso Apr 2024

Meso-Scale Seabed Quantification With Geoacoustic Inversion, Tim Sonnemann, Jan Dettmer, Charles W. Holland, Stan E. Dosso

Electrical and Computer Engineering Faculty Publications and Presentations

Abstract Knowledge of sub-seabed geoacoustic properties, for example depth dependent sound speed and porosity, is of importance for a variety of applications. Here, we present a semi-automated geoacoustic inversion method for autonomous underwater vehicle data that objectively adapts model inference to seabed structure. Through parallelized trans-dimensional Bayesian inference, we infer seabed properties along a 12 km survey track on the scale of about 10 cm and 50 m in the vertical and horizontal, respectively. The inferred seabed properties include sound speed, attenuation, density, and porosity as a function of depth from acoustic reflection coefficient data. Parameter uncertainties are quantified, and …


Synergy Between Ca2+ And High Ionic Field-Strength Cations During The Corrosion Of Alkali Aluminoborosilicate Glasses In Hyper-Alkaline Media, Qianhui Qin, Nicholas Stone-Weiss, Nian Shi, Pinaki Mukherjee, Jinjun Ren, Ashutosh Goel Apr 2024

Synergy Between Ca2+ And High Ionic Field-Strength Cations During The Corrosion Of Alkali Aluminoborosilicate Glasses In Hyper-Alkaline Media, Qianhui Qin, Nicholas Stone-Weiss, Nian Shi, Pinaki Mukherjee, Jinjun Ren, Ashutosh Goel

Michigan Tech Publications

One major factor impeding the design of nuclear waste glasses with enhanced waste loadings is our insufficient understanding of their composition–structure–durability relationships, specifically in the environments the waste form is expected to encounter in a geological repository. In particular, the high field-strength cations (HFSCs) are an integral component of most waste streams. However, their impact on the long-term performance of the glassy waste form remains mostly undeciphered. In this context, the present study aims to understand the impact of some HFSCs (i.e., Nb5+, Zr4+, Ti4+, and La3+) on the dissolution behavior of alkali/alkaline-earth aluminoborosilicate-based model nuclear waste glasses in hyper-alkaline …


Investigating The Role Of Fluid Shear Stress During Metastasis On Enhanced Breast Cancer Extravasation, Alejandra M. Ham Apr 2024

Investigating The Role Of Fluid Shear Stress During Metastasis On Enhanced Breast Cancer Extravasation, Alejandra M. Ham

LSU Master's Theses

In 2022, ~288,000 American women were diagnosed with metastatic breast cancer which was the leading cause of patient mortality with ~43,000 American women succumbing to the disease. Women can be diagnosed with four different molecular subtypes of breast cancer: luminal A, luminal B, human epithelial growth receptor type 2 enriched (HER2+), and triple-negative breast cancer (TNBC). TNBC accounts for ~12% of all breast cancers, yet it has the worst outcomes. TNBC is highly invasive, with ~46% of TNBC patients developing metastatic disease. A further understanding of metastatic TNBC is needed to provide a greater understanding of how to treat this …


Liveable Communities: A Case Study Of Availability, Proximity, And The Quality Of Critical Infrastructure In Colombo, Srilanka, Maheshi Tennakoon, Udayangani Kulatunga Apr 2024

Liveable Communities: A Case Study Of Availability, Proximity, And The Quality Of Critical Infrastructure In Colombo, Srilanka, Maheshi Tennakoon, Udayangani Kulatunga

CSID Journal of Infrastructure Development

The concept of livable communities has become increasingly significant in regional planning, aiming to improve the quality of life for residents. Despite continued investment in critical infrastructure in developing countries, the enhancement of livability has not kept pace with infrastructure development. This study investigates the impact of crucial infrastructure on community livability, utilizing a holistic single case study approach with Colombo as the case study. The relationship between critical infrastructure development and urban livability serves as the unit of analysis. Data were collected through semi-structured interviews with ten subject matter experts and analyzed using manual content analysis. The research finds …


Remote Sensing Of Residential Landscape Irrigation In Weber County, Utah, Annelise Marie Capener Apr 2024

Remote Sensing Of Residential Landscape Irrigation In Weber County, Utah, Annelise Marie Capener

Theses and Dissertations

Irrigation of residential properties in urban settings is typified by small and irregular areas, many untrained water users, limited end-use metering, and differing groundcover in contrast to agricultural settings. This makes analyzing irrigation patterns to promote efficient water use challenging. Analysis of Irrigation by Remote Sensing (AIRS) combines multispectral aerial imagery, evapotranspiration data, and ground-truthed measurements to overcome these challenges. We demonstrate the application of AIRS on eight neighborhoods in West Haven, Utah, using 0.6 m National Agriculture Imagery Program (NAIP) and 0.07 m drone imagery, reference evapotranspiration (ET), and water meter data from Weber Basin Water Conservancy District (WBWCD). …


Profiling Of Voltage-Gated Sodium Channel Subtype Expression And Resulting Susceptibility To Targeted Osmotic Lysis In Cancer, Spencer Gerard Lemoine Apr 2024

Profiling Of Voltage-Gated Sodium Channel Subtype Expression And Resulting Susceptibility To Targeted Osmotic Lysis In Cancer, Spencer Gerard Lemoine

LSU Doctoral Dissertations

Cancer is a disease characterized by a wide array of dysregulated cellular function, activity, and growth. At times, specific dysregulations associated with cancer can be exploited as avenues of potential treatment. The sodium handling mechanisms and their associated proteins in cancer have received closer attention recently closely as such a potential mechanism to exploit for treating advanced cancer. Some novel treatments aim to inhibit the expression or activity of these sodium handling proteins in an attempt to prevent the cancer from advancing or becoming more aggressive; however, such approaches have had limited success. Targeted osmotic lysis (TOL) is a new …


Well Log Analysis And Interpretation For Mishrif Formation For Amarah Oil Field, Attia Attia, Ayat Ahmed Jasim, Aqeel Al-Adili, Luma Mahmoud, Mohamed Mansour Eng. Apr 2024

Well Log Analysis And Interpretation For Mishrif Formation For Amarah Oil Field, Attia Attia, Ayat Ahmed Jasim, Aqeel Al-Adili, Luma Mahmoud, Mohamed Mansour Eng.

Petroleum Engineering and Gas

This study is intended to interpret of well logs for the purpose of determining petrophysical parameters for Mishrif formation in the Amarah Oil Field. This fi eld is situated in the province of Mysan ten kilometers to the southwest of Amarah and ten kilometers to the northwest of Halafaya’s fi eld, and is located southeast of the fi eld of Kamit and about 30 km. M–N cross plot as well as the Matrix Identifi cation (MID) have been applied to calculate mineralogy and lithology of the formation using well logs, cross plots, and reservoir quality index (RQI) along with fl …


Modeling Metaverse Perceptions For Bolstering Traffic Safety Using Novel Trss-Based Owcm-Ram Mcdm Techniques: Purposes And Strategies, Mona Mohamed, Asmaa Elsayed, Marwa Sharawi Apr 2024

Modeling Metaverse Perceptions For Bolstering Traffic Safety Using Novel Trss-Based Owcm-Ram Mcdm Techniques: Purposes And Strategies, Mona Mohamed, Asmaa Elsayed, Marwa Sharawi

Neutrosophic Systems with Applications

The Metaverse has the potential to revolutionize various aspects of human life, including transportation systems. The integration of the Metaverse into intelligent transportation systems has the potential to significantly improve traffic safety in smart cities. By creating a virtual replica of the physical world, the Metaverse can provide a platform for testing new traffic management systems, road designs, and vehicle technologies in a controlled and safe environment before implementing them in the real world. One way to integrate the Metaverse into intelligent transportation systems (ITS) is by enhancing traffic safety. This can be achieved by developing an evaluation model that …


Dying Of Natural Silk Deglued By Various Methods, Venera Djavdatovna Khamidova Apr 2024

Dying Of Natural Silk Deglued By Various Methods, Venera Djavdatovna Khamidova

Technical science and innovation

Products made of natural silk are indispensable for their hygienic properties and will always be in great demand. To obtain an even and intense coloration on a textile material, it is necessary to ensure its effective preparation with the most complete removal of hydrophobic contaminants (both natural and silicone oils applied during the weaving process, lubricants, etc.), which hinder the dyeing of the substrate and reduce the color characteristics of the obtained colors. Therefore, the issue of preparing natural silk for dyeing is relevant. In view of the sensitivity of the main fiber-forming component of natural silk - fibroin to …


A Study On The Influence Of Cutting Parameters On Surface Roughness And Visualization Through Contour Plots And 3d Surface Profiles, Zayniddin Nosirovich Muxiddinov Apr 2024

A Study On The Influence Of Cutting Parameters On Surface Roughness And Visualization Through Contour Plots And 3d Surface Profiles, Zayniddin Nosirovich Muxiddinov

Technical science and innovation

This research investigates the intricate relationship between cutting parameterscutting speed, feed rate, and depth of cut and surface roughness in machining processes. Surface roughness is a key determinant of machined surface quality, and optimizing cutting parameters is crucial for achieving superior finishes. Employing advanced visualization techniques, including contour plots and 3D surface profiles, the study offers a comprehensive exploration of surface topography dynamics. Statistical analyses and regression modeling enhance the quantitative understanding of how cutting parameters interact to shape surface roughness. The research affirms the significant influence of cutting speed, feed rate, and depth of cut, providing practical insights for …


Trend Tour, Aaron Ancheta, Khushboo Gupta, Xiomara Quinonez Apr 2024

Trend Tour, Aaron Ancheta, Khushboo Gupta, Xiomara Quinonez

Computer Science and Engineering Senior Theses

Choosing outfits as a college student can prove challenging – especially for new college students and students new to the area where their college is. Trend Tour, our web-based application, displays what the fashion trends are in the user's college and near their area. This helps the user with ideas on how to dress. Furthermore, the user can change the color, silhouette, and/or accessories of outfits they want to see at that college and near their area. This web application aims to help college students feel more confident and comfortable.


Novel Nano-Binders Treating Alzheimer’S Disease, Katie Ching, Sophie Criscione Apr 2024

Novel Nano-Binders Treating Alzheimer’S Disease, Katie Ching, Sophie Criscione

Bioengineering Senior Theses

The objective of our project is to engineer exosomes to be an effective therapeutic agent as a possible new treatment option for the neurodegenerative disease, Alzheimer’s Disease (AD). Among the various causes of AD, we are focusing on treating the pathogenesis linked to the build-up of amyloid-beta plaques in the brain, which disrupts neural connections and ultimately kills nerve cells. Currently, the most widely available treatment options for AD only provide symptomatic relief and targeting amyloid plaques in the brain is a promising new therapeutic approach in the field. Even the partial clearance of plaques could significantly improve the prognosis …


Wrack Lines Volume 24, Number 1, Spring/Summer 2024, Gract Cajski, Paul Choiniere, Maggie Cozens, Owen Placido, Judy Benson Apr 2024

Wrack Lines Volume 24, Number 1, Spring/Summer 2024, Gract Cajski, Paul Choiniere, Maggie Cozens, Owen Placido, Judy Benson

Wrack Lines

"Natural Effects: Tales of Our Dynamic Environment" is the theme of this issue, with articles about a research project using GoPro cameras on oyster cages; the exploding population of black sea bass in Long Island Sound; three research projects in Connecticut salt marshes; a children's book illustrator and author and her book about kelp farming; and a living shoreline project in Old Saybrook, CT.


Hardware Software Co-Design Of Zero-Knowledge Succinct Non-Interactive Argument Of Knowledge, Dev Shah, Allen Chellasamy Apr 2024

Hardware Software Co-Design Of Zero-Knowledge Succinct Non-Interactive Argument Of Knowledge, Dev Shah, Allen Chellasamy

Electrical and Computer Engineering Senior Theses

Zero-Knowledge Succinct Non-interactive Argument of Knowledge (zk-SNARK) is an important security verification protocol in cryptography. However, zk-SNARK is a computationally expensive protocol in software, meaning that it takes a lot of time. In this paper, we focus on how we can increase the efficiency of the zk-SNARK protocol. The zk-SNARK protocol comprises of many algorithms put together. Our project focuses on optimizing one specific algorithm within the zk-SNARK protocol, the Number Theoretic Transform (NTT). We developed a hardware implementation of the NTT on a Field Programmable Gate Array (FPGA) board. To ensure the proper execution of the hardware, an external …


Toward Improved Shared Micromobility Implementation: A Data-Driven Approach To Overcome Challenges And Explore Next-Generation Acceptance, Myriam Zakhem Apr 2024

Toward Improved Shared Micromobility Implementation: A Data-Driven Approach To Overcome Challenges And Explore Next-Generation Acceptance, Myriam Zakhem

Civil and Environmental Engineering Theses and Dissertations

Rapid transportation advancements over the last several years have resulted in new personal mobility modes, such as shared micromobility (e.g., e-scooters, bikes, and e-bikes). These short-term rental vehicles expand transportation mobility by offering affordable, convenient, and efficient options that are easy to access. The rapid expansion of dockless micromobility systems presents major opportunities and challenges for cities, leading some to ban these services within their jurisdiction. To enhance the effectiveness of dockless shared micromobility services, address challenges created by these services, and achieve better implementation performance, cities need efficacious strategies to tackle major challenges. This dissertation contributes to the body …


Transport Of Multi-Phase Multi-Component Fluids In The Shallow Subsurface Influenced By Soil And Surface Boundary Conditions: Experimental And Numerical Study With Application To Natural Gas Leakage, Navodi Jayarathne Apr 2024

Transport Of Multi-Phase Multi-Component Fluids In The Shallow Subsurface Influenced By Soil And Surface Boundary Conditions: Experimental And Numerical Study With Application To Natural Gas Leakage, Navodi Jayarathne

Civil and Environmental Engineering Theses and Dissertations

With the increased use of Natural Gas (NG) as a source of fuel, underground leak-related events are increasingly reported, and some are fatal. Subsurface migration and development up to flammable limits are highly dependent on leak characteristics, soil, atmospheric variables, and other surface and subsurface structural complexities. Although few studies have characterized the transient behavior of leaked NG in the shallow subsurface, the underlying mechanisms and their interactions are not well understood, which prevents prediction of the impact of environmental and operating conditions on gas migration. The study conducted a series of field scale-controlled release experiments and numerical simulations to …


Assistive Mobile Manipulator For People With Limited Mobility, Matthew Tognotti Apr 2024

Assistive Mobile Manipulator For People With Limited Mobility, Matthew Tognotti

Electrical and Computer Engineering Senior Theses

This project develops a robotic system that allows a mobile manipulator to help individuals with mobility limitations perform daily tasks. The primary goal is to enhance independence by enabling users to retrieve items necessary for daily routines, such as preparing for work or school. The system allows users to interact with the robot using structured voice commands and uses a rule-based approach so that the robot can learn tasks to be repeated in future interactions. An experimental setup is developed to evaluate the proposed system in a pilot study of 10 adult participants. The preliminary results from the pilot study …


Enhancing Information Architecture With Machine Learning For Digital Media Platforms, Taylor N. Mietzner Apr 2024

Enhancing Information Architecture With Machine Learning For Digital Media Platforms, Taylor N. Mietzner

Honors College Theses

Modern advancements in machine learning are transforming the technological landscape, including information architecture within user experience design. With the unparalleled amount of user data generated on online media platforms and applications, an adjustment in the design process to incorporate machine learning for categorizing the influx of semantic data while maintaining a user-centric structure is essential. Machine learning tools, such as the classification and recommendation system, need to be incorporated into the design for user experience and marketing success. There is a current gap between incorporating the backend modeling algorithms and the frontend information architecture system design together. The aim of …


The Elements Of Governance And Their Association With Aviation Safety Oversight Effectiveness, João Souza Dias Garcia Apr 2024

The Elements Of Governance And Their Association With Aviation Safety Oversight Effectiveness, João Souza Dias Garcia

Doctoral Dissertations and Master's Theses

States and their respective national civil aviation authorities promote the improvement of the global civil aviation system by developing and enforcing safety regulations for aircraft design, operations, personnel training, infrastructure, and air traffic management, among other topics. For many years, the International Civil Aviation Organization (ICAO) has driven the continuous improvement of states’ safety oversight functions, supporting them in evaluating the effectiveness of these functions by conducting audits under the Organization’s Universal Safety Oversight Audit Program (USOAP). While the benefits of these assessments have been broadly recognized, scholarly literature on the factors commonly associated with safety oversight effectiveness across states …


Indentation Protection Of Lithium-Ion Batteries Using Woven Fiber Metal Laminates, Sida Xu Apr 2024

Indentation Protection Of Lithium-Ion Batteries Using Woven Fiber Metal Laminates, Sida Xu

Doctoral Dissertations and Master's Theses

Lithium-ion batteries are widely used as electric power sources for smartphones, tablets, laptops, e-scooters, unmanned aerial vehicles, aircraft, electric vehicles, airport equipment, and numerous other transportable electronic devices. When these types of batteries get excessively loaded, damage can occur. To study the effects of excessive damage, lithium-ion battery modules with prismatic cells were subjected to destructive quasi-static indentation using a V-shaped stainless steel wedge indenter at different loading orientations, directions, and rates. The modules were discharged to a very low state of charge prior to testing. Force and voltage were measured as a function of displacement to monitor the damaging …