Engineering Commons^™

Studies Of Structural, Microstructural, Dielectric, And Electrical Characterization Of Binaznmoo6 Double Perovskite, Swati Panda, Supriya Barik, Ritu Purna Sahu, Adwit Prasad Sahu, S. Mishra, S. K. Parida

Journal of Metals, Materials and Minerals

This study investigates the structural, microstructural, dielectric, and electrical properties of BiNaZnMoO₆ (BNZM) ceramic synthesized using a conventional solid-state reaction method. Preliminary structural analysis using X-ray diffraction (XRD) suggests orthorhombic crystal symmetry. Scanning electron microscopy (SEM) micrographs reveal a uniform distribution of well-grown grains with well-defined grain boundaries, which may contribute to the enhanced dielectric properties. Energy dispersive X-ray spectroscopy (EDX) analysis confirms the presence of all constituent elements Bi, Na, Zn, Mo, and O in the studied sample. Dielectric spectra analysis as a function of frequency and temperature indicates the formation of high-quality dielectric materials, evidenced by a high …

Graphitic Carbon Nitride Loaded Bi4o5i2 For Elevated Photocatalytic Tetracycline Degradation, Subhasish Mishra, Barsha Marandi, Kali Sanjay, Rashmi Acharya

Journal of Metals, Materials and Minerals

As a robust photocatalyst, Bi4O5I2 have has attracted significant scientific interest owing to its narrow bandgap energy, escalated electronic properties and high stability. Nonetheless, the unfavourable band structure and higher recombination of excitons have restricted its diversified photocatalytic applications. In this context, binary heterojunction construction using Bi4O5I2 could be considered an effective strategy for spatial charge carrier separation across the hetero-interface, leading to an enhanced activity. In this study, we have prepared Bi4O5I2/g-C3N4 Z-scheme hetero-structures via a wet impregnation strategy that preserves the spherical structure of Bi4O5I2. The phase purity, chemical bonding, morphology and microstructure of the composite were confirmed …

Photodegradation Of Malachite Green Using 2d G-C3n5 Nanosheet: A Promising Metal Free Catalyst, Sonali Biswal, Swayam Aryam Behera, Asima Subhadarshini, P. Ganga Raju Achary, Binita Nanda

Journal of Metals, Materials and Minerals

Environmental issues have become more serious these days due to the growth of modern industries. The paper and textile industries, in particular, were heavily dependent on the printing and discharge of dye, which constantly leaked into the water ecology and constituted a serious risk to public health. Organic wastewater treatment and remediation for its associated risks have received a lot of attention lately. This work explored the potential of the g-C3N5 nanostructure as a novel photocatalyst for malachite green degradation in aqueous solution while exposed to visible light. The nanocomposite was fabricated through an ultrasonicate-assisted technique. A number of analysis …

Antibacterial, Self-Adhesive Guar Gum/Polyvinyl Alcohol/Tannic Acid Conductive Hydrogels For Flexible Strain Sensors, Noppanan Putdon, Somnuk Theerakulpistut, Rawit Jittham, Pornnapa Kasemsiri

Journal of Metals, Materials and Minerals

In this research, a multifunctional strain sensor with antibacterial properties and self-adhesion capabilities was developed using guar gum (GG), polyvinyl alcohol (PVA), and tannic acid (TA). The incorporation of TA into GG-PVA hydrogel-based strain sensors was investigated to evaluate its effects on mechanical and electrical properties, self-adhesion, and antibacterial activities. The anti-bacterial activities against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) were enhanced with the increasing content of TA. The adhesive strength was observed in the range of 1.20 ± 0.10 kPa to 5.05 ± 0.23 kPa, and the values tended to increase as TA content increased. The …

Mechanochemical Synthesis Of Ni(Ii)-Tptz Complexes With Co-Ligands: Spectroscopy, Dft, And Biological Studies, Deepak Senapati, Anulipsa Priyadarshini, Debadutta Samal, P. Ramesh Babu, Satyanarayan Sahoo, Narayan Chandra Bera, Raghabendra Samantaray, Jagannath Panda, Rojalin Sahu

Journal of Metals, Materials and Minerals

New mixed-ligand Ni(II) complexes [Ni(tptz)(1,10-phen)] (1), [Ni(tptz)(2-Mimd)2] (2), and [Ni(tptz)Imd)2] (3) were synthesized via a green, solvent-free mechanochemical approach using ball milling. The primary ligand used was 2,4,6-tris(2-pyridyl)-1,3,5-triazine (tptz), with secondary ligands being 1,10-phenanthroline, 2-methyl imidazole, and imidazole, respectively. Structural characterization by IR, UV-Visible, photoluminescence spectroscopy, and powder X-ray diffraction, supported by DFT calculations, revealed a distorted square planar geometry for complex 1 and distorted tetrahedral geometries for complex-2 and complex-3. Notably, bathochromic shifts in the UV-Vis spectra confirm metal-ligand charge transfer transitions and extended π-delocalization. Powder XRD analysis determined average crystallite sizes of 17.86 nm (1), 25 nm (2), …

Regulating Copx/Co Heterostructures For Enhanced Electrocatalytic Activity Toward Hydrazine Oxidation Reaction, Qinquan Lin, Rui Zhang, Changli Yan, Qizhao Hu, Shangbin Sang, Qiumei Wu, Kaiyu Liu, Hongtao Liu

Journal of Metals, Materials and Minerals

Hydrazine hydrate (N2H4∙H2O) is considered an ideal fuel for fuel cells. Constructing a cobalt phosphide/cobalt (CoPx/Co) heterostructure can achieve efficient electrocatalytic activity for hydrazine oxidation reaction. Traditional strategies for constructing CoPx/Co heterostructures took less consideration on the exposure of the active sites. In this study, 3D nanoflower-like nano CoPx/Co heterostructures with highly exposed active sites were obtained on a nickel foam (NF) through a dual-component phosphating strategy, i.e., regulating the relative content of Co and Co(OH)2 with cathodic current density and utilizing the differences in their phosphating behaviors. The potential at 100 mA∙cm‒2 and Tafel slope of the optimized CoPx/Co(375)@NF …

Oxidation Of Sn-1 Wt.% Bi In Air And In Oxygen Deprived Environment, Pakawat Polmanee, Benjie Fernandez, Patama Visuttipitukul, Ittipon Cheowanish, Tachai Luangvaranunt

Journal of Metals, Materials and Minerals

Oxidation of Sn-1wt% Bi in air and in oxygen deprived environment is studied in this research. Electrochemical process with SERA technique was used to determine oxide film thickness and rate of oxidation of tin alloy. The thickness of oxide film at 72 hours of the specimens that is tested in air, in vacuum, in argon environment, and wrapped with plastic film are 16, 10, 18, and 13 Å respectively. XPS was used to determine the type of oxides in the oxide layer. Result after signals deconvolution shows that SnO and SnO2 compounds were formed on the Sn-1wt% Bi surface.

Solar Radiation Assisted Photocatalytic Degradation Of Congo Red Using Ce Doped Lacoo3, Rishabh Kamal, Rasmirekha Pattanaik, Debapriya Pradhan, Suresh Kumar Dash

Journal of Metals, Materials and Minerals

A viable sol-gel synthesis technique was used to synthesize LaCoO3 and Ce doped LaCoO3 for degradation of congo red dye taking a renewable source of light i.e solar radiation. The crystalline structure, morphology, and optical properties of the synthesized catalysts were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) analysis of Ce-doped LaCoO₃ confirmed the presence of La (3d), Ce (3d), Co (2p), C (1s), and O (1s) and their valence states in the perovskite matrix, Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and ultraviolet diffuse reflectance spectroscopy (UV-DRS). The XRD analysis with a prominent diffraction peak detected …

Facile Synthesis Of Bamno3-Zro2 Composite: A Step Towards The Photocatalytic Degradation Of Organic Dye, Kirttimayee Mohanta, Swayam Aryam Behera, Binita Nanda, P. Ganga Raju Achary

Journal of Metals, Materials and Minerals

Environmental contamination by synthetic dyes, particularly Methylene Blue (MB), presents a significant threat to aquatic ecosystems and human health due to their chemical stability and toxicity. This study investigates the photocatalytic degradation of MB using a BaMnO3:ZrO2 composite synthesized in a 1:2 ratio via a straightforward wet-chemical method. Structural and optical characterizations were performed using X-ray diffraction (XRD), Scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and Ultraviolet-visible diffuse reflectance spectroscopy (UV-DRS). The composite exhibited a reduced bandgap of 2.88 eV and uniform nanoscale morphology, both favorable for visible-light-driven photocatalysis. Under visible-light irradiation, the catalyst achieved 89% degradation efficiency within …

Optimization And Characterization Of Carrageenan/Alginate Ratio And Seaweed Waste To Develop Composite Bioplastics From Kappaphycus Alvarezii, Ali Ridlo, Retno Hartati, Agus Sabdono

Journal of Metals, Materials and Minerals

Carrageenan and alginate, derived from seaweed, offer potential as alternatives to traditional plastics. This study aims to assess the properties of biodegradable bioplastics made from a composite of carrageenan, alginate, and waste from K. alvarezii seaweed carrageenan extraction. A mixture of carrageenan and alginate was added with a ratio of 4:6 and K. alvarezii extraction waste 0, 20, 40, 60, and 80 % waste concentration,  in the carrageenan-alginate-waste mixture. The process involves blending carrageenan, alginate, waste, glycerol, and distilled water until uniform at 90o C and 1000 rpm for 45 minutes, followed by molding, immersion in a 4% CaCl2 solution, …

Liquid-Liquid Extraction Of Nd(Iii) Using [P66614][Cy272] Ionic Liquid, Prasanjit Das, Kali Sanjay, Niharbala Devi

Journal of Metals, Materials and Minerals

This study explores the extraction of Nd(III) from synthetic solutions using the ionic liquid [P66614] [Cy272]. Key extraction parameters, including the effect of phase contact time, initial pH, salting-out agents, extractant concentration, and temperature, were systematically optimized. Results revealed that a phase contact time of 15 min, an initial pH of 2.14, and 0.2 mol∙L‒1 NaCl as a salting-out agent and extractant concentration of 0.015 mol∙L‒1 [P66614][Cy272], achieved maximum extraction efficiency of 99.7%. Thermodynamic analysis confirmed the process is to be exothermic, spontaneous, and entropy-driven, highlighting the strong complexation between Nd(III) and the ionic liquid [P66614][Cy272]. Stripping tests revealed that …

Green-Synthesized Yttrium-Doped Cerium Oxide Nanoparticles: A Promising Optical Material, Sasmita Sarangi, Nibedita Nayak, Binita Nanda, Tapas Sahoo

Journal of Metals, Materials and Minerals

This work focuses on the green synthesis, characterization, and optical properties of yttrium-doped cerium dioxide (CeO2) nanoparticles. A green approach was adopted using Acacia concinna fruit extract as surfactant and stabilizing agent. Their structural, morphological, and physical-chemical properties were characterized using different analytical techniques, like XRD, FE-SEM, FTIR, PL, Raman, UV-Visible Spectroscopy. XRD study validated the structure of cubic fluorite-type structure of CeO2 nanoparticles, with the average crystallite size ranging between 7-15 nm. Raman spectroscopy validated this structure with F2g band observed at 463 cm−1. FESEM images showed irregular spherical morphologies with grain sizes in the range of 50-60 nm. …

Pyrolysis And Modification Of Coconut Shell Into Sulfonated Biochar And Its Catalytic Activity On Cellobiose Conversion, Addy Rachmat, Yessi Eka Wahyu, Poedji Loekitowati Hariani, Fahma Riyanti, Fatma Fatma

Journal of Metals, Materials and Minerals

Coconut shell was successfully valorized into sulfonated biochar through carbonization in various temperatures and duration. This work aims to provide suitable solid acid carbonaceous catalyst for cellobiose conversion into valuable product. Sulfonated biochar is characterized to evaluate its crystallinity, sulfonate, and oxygenated functional groups by XRD method and FTIR spectroscopy. The resulting solid acid carbonaceous material was tested toward cellobiose hydrolysis to assess its catalytic activity in various time, temperature, and catalyst weight. FTIR spectra reveals some of the biochar product has sulfonate group as indicated by absorbance band at 1234 cm‒1, 1070 cm‒1 and 1180 cm‒1, which belongs to …

The Effects Of Graphene Nanoplatelets And Microcrystalline Cellulose On The Mechanical Properties Of Fiberglass And Carbon Fiber Composites, Duangjai Srisamut, Nathawat Poopakdee, Warut Thammawichai

Journal of Metals, Materials and Minerals

This study investigated how graphene nanoplatelets (GNP) and microcrystalline cellulose (MCC) affect the mechanical properties of epoxy (EP), carbon fiber (CF), and fiberglass (FG) composites. The tensile and flexural properties of GNP-EP and MCC-EP of  varying reinforcement concentrations were examined. Results indicated significant improvements on tensile and flexural properties by GNP and MCC. At 0.1 wt% GNP, tensile and flexural strengths increased by 10% and 21%, while 2.0 wt% improved flexural modulus by 65%. Similarly, 2.0 wt% MCC improved tensile strength, modulus, and flexural modulus by 11%, 11%, and 46%, respectively, and a 26% increase in flexural strength at 1.0 …

Statistical Investigation Of Gypsum Crystallization Kinetics, Azmain A. Akash

LSU Master's Theses

Gypsum, a naturally occurring mineral salt, is frequently encountered in industrial processes such as seawater desalination and power plant cooling. Over the years, significant effort has been devoted to controlling the crystallization of gypsum through various chemical approaches, including acidification, chelating agents, and antiscalant polymers. Nevertheless, the cost associated with chemical treatments may be reduced by incorporating physical operational strategies to complement chemical methods in regulating gypsum crystallization.

This study systematically examines the comparative roles of chemical and physical entropy in the gypsum crystallization process to elucidate their respective influences on gypsum growth kinetics. Chemical entropy is manipulated by adjusting …

Rfid Occupied Advanced Framework For Specialized Vehicle Access, Operating System, And Wireless Data Transmission Without Human Intervention, Abdullah Al Mamun Anik, Mosammet Sadia Akter Moon, Fahim Faysal Arnob, Mehedi Hasan, S. A. Naimal Hoque, Mohammad Mashhunar Rahman, Tahzin Bin Ahmed, Tonmoy Barua

Mechanical Engineering Faculty Publications and Presentations

Radio frequency identification system (RFID) tags are tiny electronic devices that include a distinctive code that can be detected by a reader that supports RFID. The string of characters is used for recognizing and monitoring the object to which the tag is connected. RFID tags interact with RFID readers using radio frequency. While the tag comes into close proximity to the scanner, that device sends a radio signal that triggers the tag. The tag then responds by sending its unique identity. RFID pinpointing ability is verified experimentally in two different techniques, one utilizing radar and the other a photosensitive transition. …

Accurately Constituting Robust Interfaces For High-Performance High-Energy Lithium Metal Batteries, Kevin V. Carballo, Meetesh Singh, Xiangbo Meng

Mechanical Engineering Faculty Publications and Presentations

High-energy lithium metal batteries (LMBs) have received ever-increasing interest. Among them, coupling lithium metal (Li) with nickel-rich material, LiNi_xMn_yCo_zO₂ (NMCs, x ≥ 0.6, x + y + z = 1), is promising because Li anodes enable an extremely high capacity (∼3860 mA h g⁻¹) and the lowest redox potential (−3.04 V vs. standard hydrogen electrode), while NMCs can achieve a much higher capacity of ∼200 mA h g⁻¹ and lower cost than those of LiCoO₂. However, the resultant Li‖NMC cells have been hindered from commercialization due to a …

Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression, Samuel Vinson, Dongyi Wang

2025 Research Poster Competition

Beef is one of the most important sources of animal protein and plays a crucial role in daily diets to support muscle growth, energy production and overall health. Historically, each beef carcass was evaluated by 3-5 skilled United States Department of Agriculture (USDA) meat graders, which are still considered as the gold standard for grading. Since 2009, electronic imaging grading systems have been approved by the USDA and have been gradually adopted in the grading facilities. Accurate and consistent beef grading plays a critical role in maintaining the quality, market value, and consumer trust in U.S. beef products. The USDA …

Cnns And Transformers For Visual Understanding: From Feature Alignment To Image Captioning, Xuehao Liu

Doctoral

Deep learning has developed rapidly since the introduction of Deep Belief Networks during the past decade. As an area of machine learning, it still has many open challenges. Among these open challenges is the issue of transparency, with deep learning models known as black boxes. Both explainability of a model for understanding the decision making process, and the transparency of the relationship between the input and output are crucial for understanding a model. The understanding of models can build trust between AI systems and humans, verify models behavior, and identify potential biases or errors.

Navigating Human-Robotic Interaction Challenges In Teaching-By-Demonstration, Shakra Mehak

Doctoral

The advancement in interdisciplinary research domains, like robotics and HRI, presents a challenging task. It is an exception rather than the norm for research to extend beyond the boundaries of individual disciplines and encompass the challenges presented by other fields of study. This project is part of ”Collaborative Intelligence for Safety Critical Systems” (CISC), which is a Marie Curie Training Network funded by the European Commission to hire and train researchers with the expertise and skillset necessary to carry out the major tasks required to develop a Collaborative Intelligence system. The program encompasses four overarching themes: Artificial Intelligence (AI), Human …

Personalized Persuasion In The Digital Age: A Data-Driven Approach To Effective Communication, Annye Braca

Doctoral

This thesis investigates the potential of Machine Learning (ML) to personalize persuasive marketing messages. It explores the identification of individuals receptive to specific persuasion techniques based on their psychometric profiles. By developing ML models that incorporate these profiles, the thesis aims to predict the impact of tailored messages and improve the effectiveness of marketing communication.

Machine Learning Applications In Epigenomics And Its Association With Health And Disease, Trevor Doherty

Doctoral

Epigenetic modifications can lead to altered phenotypes without a change in the DNA sequence itself. Disrupted gene expression regulated by epigenetic processes can result in cancers, autoimmune diseases and various other maladies. Machine learning (ML) involves the use of algorithms and models which are trained to learn patterns in data, and has demonstrated remarkable success in solving diverse, complex challenges. Epigenomic studies, such as those that use DNA methylation (DNAm) data, increasingly make use of ML techniques to process extremely high dimensional data obtained from high throughput platforms e.g., DNAm arrays. These datasets suffer from the curse of dimensionality, increased …

3d Bioprinting Technology Innovation In Female Reproductive System, Siyao Chen, Tongxin Wang, Jiaqi Chen, Mingxing Sui, Luyao Wang, Xueyu Zhao, Jianqiao Sun, Yingli Lu

Department of Obstetrics & Gynecology Faculty Publications

Several diseases affect the female reproductive system, and both disease factors and treatments impact its integrity and function. Consequently, understanding the mechanisms of disease occurrence and exploring treatment methods are key research focuses in obstetrics and gynecology. However, constructing accurate disease models requires a microenvironment closely resembling the human body, and current animal models and 2D in vitro cell models fall short in this regard. Thus, innovative in vitro female reproductive system models are urgently needed. Additionally, female reproductive system diseases often cause tissue loss, yet effective tissue repair and regeneration have long been a bottleneck in the medical field. …

Twitter-Based Osint For Cyber Event Analytics, Dakota S. Dale, Kylie Mcclanahan, W. Sky Elder, Qinghua Li

Electrical Engineering and Computer Science Faculty Publications and Presentations

Open-Source Intelligence (OSINT) is often regarded as a critical component for cybersecurity intelligence gathering to secure cyber infrastructures. As Artificial Intelligence (AI) and social media progress and become more commonplace, we have the unique opportunity to collect and analyze information from social media in real time. In this paper, we propose an AI-based framework for automatically filtering the Twitter stream for cybersecurity information, analyzing the natural language to aggregate the tweets around specific cybersecurity events, and certifying the information. The system's applications range from discovering events security operators may not have been aware of to helping operators investigate on-going events …

Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition, Naga Venkata Sai Raviteja Chappa, Pha Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniels Dobbs, Khoa Luu

Electrical Engineering and Computer Science Faculty Publications and Presentations

Social group activity recognition is crucial for various applications including surveillance, human-robot interaction, and behavioral analysis. Current approaches often require extensive manual annotations and rely heavily on pre-trained detectors, limiting their practical applications. Additionally, existing methods struggle to effectively model long-term spatiotemporal relationships in group activities. This paper introduces a novel approach to Social Group Activity Recognition (SoGAR) using Self-supervised Transformers network that can effectively utilize unlabeled video data. To extract spatio-temporal information, we create local and global views with varying frame rates. Our self-supervised objective ensures that features extracted from contrasting views of the same video are consistent across …

The Effect Of Huntington’S Disease On The Mechanical And Electrical Properties Of Red Blood Cells, Liliana Ponkratova

Electronic Theses and Dissertations

Huntington’s disease (HD) has an impact on brain tissues and can alter the biochemical properties of the peripheral blood. Evidence in existing literature suggests that peripheral mutant Huntingtin protein may be involved and deteriorate HD. Red blood cells (RBCs), being the most abundant type of cells in the peripheral blood, can show detectable changes in their biophysical properties due to subtle changes in cell membranes. These changes can offer a minimally invasive means to track the progression of the disease. The transgenic line R6/2 is used as the disease model. Utilizing the electro-deformation spectroscopy, we measured membrane permittivity, cytoplasm conductivity, …

Deep Learning For Computer Vision Applications In Medical Diagnostics And Wildlife Monitoring, Mostapha Al Saidi

Electronic Theses and Dissertations

This dissertation explores innovative applications of deep learning and computer vision techniques across three distinct domains: medical imaging, dermatological diagnostics, and wildlife monitoring. The research addresses critical challenges in each field through the development and optimization of convolutional neural networks and other deep learning architectures.

The first study examines COVID-19 classification from X-ray images, comparing one-shot versus two-stage classification approaches using transfer learning with pre-trained models such as VGG16 and VGG19. The initial hypothesis was that breaking down the classification task into two optimized tasks would yield better results than one-shot classification. Results demonstrated that the single-stage approach achieved superior …

A National Assessment Of State Level Culvert Management Plans, Steven Michael Carvalho Jr

Honors Theses and Capstones

In this paper, infrastructure asset management was explored, particularly culvert management, with the main objective being the investigation of culvert management plans nationally in the United States of America. These documents were collected, categorized for context, and evaluated for the addressing of increasingly important concepts for modern times. These research parameters, prioritization strategy, social equity, and climate change, were then compared to two other considerations to create more inferences and potential conclusions: geographical region and political ideology. A statistical analysis was then conducted spearheaded by Spearman’s correlation, a test that measured the strength of a potential correlation between two variables. …

Understanding Human-Agent Teaming: A Mixed-Methods Examination Of Perceptions And Interactions, Valerie Robbins-Roth, Kendall Carmody, Bella Deloach, Meredith Carroll, Amanda Thayer, Jessica Wildman

Aeronautics Faculty Publications

While quantitative research on trust in HATs is well-established, there is a significant gap in understanding individuals’ subjective experiences during trust violations and repair. This study explores how people perceive and respond to these events, guided by three key questions: (1) How do participants describe emotional and behavioral responses to trust violations and repair? (2) How do personality traits influence reactions? (3) What qualitative themes emerge in the dissolution of trust? Using a mixed-methods approach, participants engaged in a 1-hour simulated search-and-rescue mission with four autonomous agents. During the task, one agent committed two trust violations, followed by repair attempts …

Emotion Processing In Adolescents With Epilepsy And Healthy Controls Using Multi-Modal Neuroimaging, Frances Kathryn E. King

Bioengineering Dissertations - Archive

Epilepsy is increasingly recognized as a disorder not only of seizures but also of widespread network dysfunction, impacting cognitive and emotional processing. One critical cognitive process affected in epilepsy is emotional conflict processing, which relies on the interplay of multiple brain networks. However, the spatiotemporal dynamics of emotional conflict processing in epilepsy, particularly in adolescents, have remained poorly understood. This dissertation investigated the neural mechanisms underlying emotional conflict processing in typically developing adolescents and adolescents with epilepsy using magnetoencephalography (MEG). The first study elucidated the spatiotemporal profile of emotional conflict processing in 24 typically developing adolescents using magnetoencephalography (MEG). Cluster-based …