Digital Commons Network^™

Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization, Marco Mangano, Sicheng He, Yingqian Liao, Denis-Gabriel Caprace, Andrew Ning, Joaquim R. R. A. Martins

Faculty Publications

Large wind turbines yield more energy but demand careful aeroelastic blade design. Coupled multiphysics design strategies can reduce wind energy costs exploiting fluid-structure interactions. This work presents the first high-fidelity aerostructural optimization study of a large wind turbine rotor.We use blade-resolved fluid dynamics and structural solvers in a monolithic gradient-based optimization framework to explore steady-state torque and blade mass trade-offs. The coupled-adjoint approach computes gradients efficiently, enabling the optimization of over 100 structural and geometric parameters simultaneously. Our optimization study modifies a DTU 10 MW benchmark with a simplified structure and isotropic material properties. The tightly coupled optimizations increase torque …

Effect Of Short-Chain Polymer Binders On The Mechanical And Electrochemical Performance Of Silicon Anodes, Fei Sun, L. Zurita-Garcia, Dean R. Wheeler

Faculty Publications

Polymer binders are crucial components in providing both mechanical support and chemical stability to the structure of porous Li-ion electrodes. Particularly in silicon anodes, the active material undergoes substantial volume expansion of up to 275%. Due to the mechanical constraint of the current collector, these silicon materials tend to expand in the normal direction while exhibiting substantial particle rearrangement and plastic deformation. Conventional rigid binders such as polyacrylic acid (PAA) and polyimide (PI), while providing satisfactory initial capacity, do not eliminate diminished long-term performance. Our research attempts to develop binder formulations that can accommodate sufficient flexibility for the substantial volume …

The Floodnet Community Engagement Guide, Véronëque Ignace, Sofia Mariyamis, Kendra Krueger, Polly Pierone, Hayley Elszasz, Hannah Eisler Burnett

The Science and Resilience Institute at Jamaica Bay, SRIJB

"At the Intersection of Science, Policy, and Community: The FloodNet NYC Community Engagement Strategy” is a public-facing community engagement guide that documents the strategies, tools, and lessons developed through FloodNet NYC, a cross-sector partnership among researchers at NYU and CUNY and New York City agencies. Designed as a practical resource, this guide shares our approach to community engagement and dissemination so that researchers, practitioners, community organizations, and public agencies can adapt these methods to their own urban climate science projects and other community-centered efforts that address climate challenges.

Grounded in community-based participatory research (CBPR) principles, the guide presents community engagement …

Enhancing Network Security: Dynamical Intrusion Detection Systems Leveraging Zero Trust Architecture, Ekramul Haque

Tennessee State University Alumni Theses and Dissertations

This thesis discussed two original methodologies for proposing security frameworks incorporating machine learning (ML) and Zero Trust Architecture (ZTA) principles to manage advanced persistent threats faced by Unmanned Aerial Vehicles (UAVs) and Network intrusion detection systems (IDS). The first methodology examined the use of RF signals and deep learning to identify and classify UAVs. The RF signal characteristics used in the method for detecting UAVs improved the ability to determine RF drone protocols. Although the models led to promising findings, their lack of ability to generalize to new drone types identified the need to improve both the data set and …

Identification And Characterization Of Peptide Responsive Histone Modification Genes During Root Nodule Symbiosis In Medicago Truncatula, Shivani Dharam

Tennessee State University Alumni Theses and Dissertations

Nitrogen (N) is an essential but limiting macronutrient for crop growth in agroecosystems. Biological Nitrogen Fixation (BNF) is a critical biological process where atmospheric Nitrogen is converted into ammonia by Nitrogen fixing the bacteria called rhizobia, forming mutualistic relationships with legume plants. These interactions are mediated by several signaling pathways and may involve epigenetic modifications like DNA methylations, histone modifications, where gene expression is altered without any change in DNA sequence. Histones are proteins provide structural support to DNA. However, genes encoding enzymes for these post translational modifications are poorly investigated in the Leguminosae family. This project aims to answer …

Crispr-Cas9 Gene Editing In Tomato: Development And Characterization Under Stress, Jun Guo

Tennessee State University Alumni Theses and Dissertations

Transcription factor (TF) families played essential roles in plant responses to abiotic stress, contributing significantly to stress tolerance and adaptation. The basic helix-loop-helix (bHLH) TF family included 161 members in tomato (Solanum lycopersicum). Previous proteomic analysis identified TF bHLH148 (Solyc01g058670) as being upregulated under aluminum (Al) stress, suggesting a potential role in Al tolerance. To investigate this, CRISPR-Cas9 was used to generate SlbHLH148 knockout mutants in the ‘Black Vernissage’ tomato cultivar. Two homozygous T2 lines, Slbhlh148-1 and Slbhlh148-2, were confirmed to contain frameshift mutations that resulted in truncated proteins lacking the bHLH_AtIBH1_like domain, as shown by protein modeling. Phenotypic evaluation …

Gentrification And Voter Turnout In Urban School Board Elections, Erika Leicht

Tennessee State University Alumni Theses and Dissertations

Gentrification is a process in which low-income urban neighborhoods experience reinvestment and an influx of higher socioeconomic status (SES) residents. There is a growing literature on the impacts of gentrification on public schools, including effects on enrollment, student achievement, and parent involvement. This study examined whether gentrification is related to voter turnout in school board elections in urban local education agencies (LEAs) in Texas. It also examined whether the relationship between gentrification and voter turnout varies depending on the availability of school choice options and the racial/ethnic differences between public school students and neighborhood populations. Using a fractional logistic regression …

Genetic Profiling Of Tennessee Johnsongrass And Pigweed Accessions Per Weedicide Resistance And Agronomic Traits, Gouse Mohiddin Shaik

Tennessee State University Alumni Theses and Dissertations

Herbicide-resistant weeds pose an escalating threat to crop productivity in Tennessee, leading to notable economic losses and complicated conventional weed control strategies. Among the most persistent species, Sorghum halepense (Johnsongrass) and various Amaranthus species (pigweeds) have exhibited remarkable adaptability and increasing resistance to widely used herbicides. Addressing this growing issue necessitates a thorough understanding the genetic and biochemical mechanisms that drive herbicide resistance. This study conducted an extensive genetic analysis of Pigweed and Johnsongrass samples collected from a broad range of counties across Tennessee, ensuring representation from both the northern and southern portions of the state’s Eastern, Central, and Western …

Heat Stress On Germinating Tomato Pollen And The Molecular Mechanisms For Heat Response Using Single Cell Type Proteomics, Dibya Thapa Magar

Tennessee State University Alumni Theses and Dissertations

The primary objective of this study is to develop the technical workflow for collecting homogenous germinating pollen samples. Two tomato varieties, Black Vernissage (BV) and Micro Tom (MT), were grown in temperature-controlled plastic greenhouses. For the non-heated control conditions, greenhouse temperature was set at 25C/21oC (16/8 hours; day/night). For the heat-treated greenhouse, temperature was set at 32/25 oC (16/8 hours; day/night). Supplemental light was provided using plant growth LED light. Ten freshly opened flowers were collected and pollen were released into 2ml pollen germination medium (PGM) in 5-ml centrifuge tubes. After centrifugation, pollen pellets were washed three times in 2 …

Habit And The Potential For Actor Training With Immersive And Virtual Production Technology, John Matthews

School of Art, Design and Architecture

The advance of immersive and virtual technologies draws into starker contrast the analogue modalities of dominant approaches to actor training and makes more visible certain of their dynamics, which are analysed here using a philosophical framework of habit and habitus as propositionally causative. This technology is disruptive to habit and habitus in actor training and signifies potential to experiment with these dynamics to address extant problems in actor training. Problems in training habitus discussed here derive from trainers’ habits but arise primarily for trainees, and especially so for certain groups. I use Lazlo Pearlman and Deirdre McLaughlin’s critique of the …

Father-Land: Narratives Of Memory In A Place Of Conflict, Kayla Parker

School of Art, Design and Architecture

The chapter shares critical insights into and reflective analysis of the screenwriting process for the author's essay film Father-land (2018), made collaboratively with the sound artist and film-maker Stuart Moore through an artists' research residency in Nicosia, the only divided capital city in Europe. During the residency, the film-makers lived close to the demilitarized Buffer Zone - a physical border controlled by the United Nations, which has separated the Greek Cypriot south from the Turkish-occupied north since the violent conflict that tore the island in two in 1974. Their day-to-day experience of this fractured urban landscape, inflected by their childhood …

Synergetic Adsorptive Mechanisms, Reusability And Cost Evaluations Of Green Fabricated Hybrid Barium Cobalt Nanocomposites For Methylene Blue And Lead Removal From Wastewater, Titus Chinedu Egbosiuba, Chibuike Christogonus Njoku, Ijeoma Jacinta Ani, Godwin Ifeanyi Ogbuehi, Abdulkareem Omeiza Yusuf, Abiodun Azeez Saka, Ugochukwu Ewuzie, Ebuka Emmanuel Ezennajiego, Blessing Onyinye Okafor, Walter Chibuike Anene, Cecilia Chika Unegbu, Florence Acha, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Barium nanoparticles (BaNPs), cobalt nanoparticles (CoNPs), and hybrid barium-cobalt nanocomposites (BaCoNCs) were synthesized using an eco-friendly green technique with Anacardium occidentale leaf extract for sequestration of methylene blue (MB) dye and lead (Pb (II)) ions from industrial wastewater. The nanoparticles and nanocomposites were characterized using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), high-resolution scanning electron microscopy (HRSEM), and Brunauer-Emmett-Teller (BET) analysis to assess their functional groups, crystalline structure, morphology, and surface properties, confirming successful synthesis. Batch adsorption studies showed that optimal pollutant removal occurred at pH values of 8 for MB and 5 for Pb(II), with a contact time …

Identification Of Flow Regime In A Co-Current Upflow Packed Bed Reactor (U-Pbr) Using Gamma-Ray Densitometry (Grd), Youssef Yatimi, Ahmed Alalou, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Owing to their significant impact on the reaction rate, the comprehensive understanding of the hydrodynamics in any novel design of the Upflow Packed Bed Reactor (U-PBR) is essential for the optimization of its throughput. In this regard, the identification of the flow regime is of paramount importance. Therefore, in this work, we use the photon counts time-series data obtained using the non-invasive Gamma-ray densitometry (GRD) to identify, for the first time, the flow regimes and their transition velocities at two axial locations (Z/D=0.8,1.56) and five radial locations (r/R=0,±0.5,±0.9) within the packed catalysts' bed of U-PBR with a novel plenum design …

A Consensus Guide To Preclinical Indirect Calorimetry Experiments, Alexander S Banks, David B Allison, Thierry Alquier, Ansarullah, Steven N Austad, Johan Auwerx, Julio E Ayala, Joseph A Baur, Stefania Carobbio, Gary A Churchill, Morten Dall, Rafael De Cabo, Jose Donato, Nathalia R V Dragano, Carol F Elias, Anthony W Ferrante, Brian N Finck, Jose E Galgani, Zachary Gerhart-Hines, Laurie J Goodyear, Justin L Grobe, Rana K Gupta, Kirk M Habegger, Sean M Hartig, Andrea L Hevener, Steven B Heymsfield, Corey D Holman, Martin Hrabě De Angelis, David E James, Lawrence Kazak, Jae Bum Kim, Martin Klingenspor, Xingxing Kong, Sander Kooijman, Louise Lantier, K C Kent Lloyd, James C Lo, Irfan J Lodhi, Paul S Maclean, Owen P Mcguinness, Gema Medina-Gómez, Raghavendra G Mirmira, Christopher D Morrison, Gregory J Morton, Timo D Müller, Yoshihiro Ogawa, David Pajuelo-Reguera, Matthew J Potthoff, Nathan Qi, Marc L Reitman, Patrick C N Rensen, Jan Rozman, Jennifer M Rutkowsky, Kei Sakamoto, Philipp E Scherer, Gary J Schwartz, Radislav Sedlacek, Mohammed Selloum, Saame Raza Shaikh, Shuai Chen, Gerald I Shulman, Vojtěch Škop, Alexander A Soukas, John R Speakman, Bruce M Spiegelman, Gregory R Steinberg, Katrin J Svensson, John P Thyfault, Tony Tiganis, Paul M Titchenell, Nigel Turner, Licio A Velloso, Antonio Vidal-Puig, Christopher S Ward, Ashley S Williams, Christian Wolfrum, Allison W Xu, Ying Xu, Juleen R Zierath, International Indirect Calorimetry Consensus Committee (Iiccc)

Children’s Nutrition Research Center Staff Publications

Understanding the complex factors influencing mammalian metabolism and body weight homeostasis is a long-standing challenge requiring knowledge of energy intake, absorption and expenditure. Using measurements of respiratory gas exchange, indirect calorimetry can provide non-invasive estimates of whole-body energy expenditure. However, inconsistent measurement units and flawed data normalization methods have slowed progress in this field. This guide aims to establish consensus standards to unify indirect calorimetry experiments and their analysis for more consistent, meaningful and reproducible results. By establishing community-driven standards, we hope to facilitate data comparison across research datasets. This advance will allow the creation of an in-depth, machine-readable data …

High-Resolution Peripheral Quantitative Computed Tomography Reliability And Accuracy Of Bone Density And Morphology Properties In Children, Roman J Shypailo, Chadi Calarge, Punam K Saha, Xiaoliu Zhang, Xiaojie Chen, Stephanie Dinh, Xiaofan Huang, Babette S Zemel, Fida Bacha

Faculty, Staff and Students Publications

Volumetric bone density, microarchitecture, and strength measures using HR-pQCT are valuable measures of bone health in pediatrics. Our cross-sectional study evaluated bone measure reproducibility in pediatric participants using repeat HR-pQCT (XtremeCT II, Scanco Medical) scans of non-dominant distal tibia and radius of 30 healthy children and adolescents (7-17 yr, 47% female) by 2 technicians. Additionally, we examined HR-pQCT and micro-CT of 26 cadaveric distal tibia specimens to evaluate agreement between the modalities. All HR-pQCT scans were analyzed using manufacturer-provided software (Image Processing Language, Scanco Medical) and a fully automated, previously validated, in-house algorithm, offering measures of bone microstructure (eg, trabecular …

Positive Effects Of Sulfates On Performance Of Cement Paste Incorporating Low-Grade, High-Aluminum Steel Slag, Nannan Zhang, Gao Deng, Wenyu Liao, Chuanlin Hu, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Steel slag with high aluminum (Al) content significantly delays the early hydration of cement when used as a supplementary cementitious material (SCM). To address this challenge, this study investigates the effects of gypsum (Gy) and sodium sulfate (SS) additions on the performance of cement pastes with 30 % high-Al ladle metallurgy furnace (LMF) slag. The mechanical properties, hydration kinetics, phase evolution, as well as the early-age hydration mechanism were explored. The results indicate that C3S hydration is substantially inhibited under high-Al conditions, mainly attributed to the rapid dissolution and reaction of reactive aluminates (particularly mayenite) in the slag. Both Gy …

Data-Driven Shear Capacity Prediction Of Studs Embedded In Uhpc For Steel-Uhpc Composite Structures, Yanping Zhu, Woubishet Zewdu Taffese, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study employs ensemble learning algorithms to accurately predict the shear capacity of studs embedded in ultrahigh performance concrete (UHPC), a critical aspect of structural engineering. Using a comprehensive data set featuring six UHPC slab features, seven stud features, and one shear pocket feature, 35 ensemble models are developed across five cases and seven algorithms (bagging, random forest, AdaBoost, gradient boosting, XGBoost, CatBoost, and LightGBM). The Shapley additive explanations (SHAP) analysis is conducted on the top-performing models to gain insights into their decision-making mechanisms. Results indicate that transforming UHPC slab geometry parameters into a volume, alongside different diameter ratios, proves …

Guiding State-Specific Studies On Highway Disasters: Examining Differences In Postdisaster Funding, Mariam Elazhary, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The highway sector is frequently and severely impacted by natural disasters. To mitigate these effects and reduce the need for large relief budgets or emergency funds, it is crucial to study the resilience of the transportation network. As such, defining resilience in absolute terms is not enough; instead, it is equally important to analyze specific case studies and build a lessons-learned rapport. This is critical because it helps identify unique vulnerabilities and strengths that might be overlooked in broader analyses. However, current research on highway resilience often lacks empirical evidence to support the selection of these unique and significant case …

Temporal Evolution Of Workforce Fatality-Linked Factors In The Transportation Construction Sector, Mariam Elazhary, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Despite advancements in safety measures, fatalities in the transportation sector remain disproportionately higher than in other industries. Transportation sector fatalities arise from a combination of demographic, environmental, and occupational factors that amplify the overall risk. While strides have been made in understanding the factors contributing to fatalities, there remains a critical gap in research focused on their temporal evolution. The goal of this study is to investigate the temporal evolution of fatality-linked association factors in the transportation construction sector. The methodology encompassed three stages. Stage 1 was preprocessing the data: the US Census of Fatal Occupational Injuries, covering 3,792 fatality …

Failure Analysis Of Prestressed Concrete Girder Bridges Under Over-Height Truck Impacts, Mohamed T. Elshazli, Mohamed Elgawady, Tao Xing, Ahmed Ibrahim

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Accidental collisions between over-height trucks and bridge superstructures are a common threat to existing bridge infrastructure. These incidents often stem from illegal over-height vehicles or truck operators' unawareness of clearance limits, posing serious safety risks and causing substantial structural damage. This study presents a comprehensive numerical investigation of the dynamic response of prestressed concrete girder bridges subjected to over-height truck impacts. Large-scale finite element models were developed in LS-DYNA, with validation conducted against experimental results. The parametric study explored impact speeds ranging from 16 to 113 km/h (10 to 70 mph), impactor masses between 2 and 6 tons, impact locations, …

A Fascination With Gastrointestinal Viruses, Mary Kolb Estes

Faculty, Staff and Students Publications

My arrival into this world came quickly, according to my mother, and it feels like my life has mirrored that rapid beginning. I have enjoyed a rich, varied, and stimulating life and career that have gone through several phases. I credit genetics, my family, technological advances, and many environmental factors for shaping my career. Being a virologist allowed me to be curious and creative and to make several unexpected discoveries. This has been a fun and rewarding journey, but it wasn't always easy. I am not accustomed to talking about myself, but I am happy to share some scientific achievements …

Additively Constructed Plain Concrete Pipes: Structural Performance And Site Implementation, Alireza Hasani, Boshra Besharatian, Sattar Dorafshan

Civil Engineering Faculty Publications

Worldwide, extrusion-based additive construction of cementitious materials or 3D Concrete Printing (3DCP) has gained significant momentum for large-scale construction in recent years. This technology has advanced building construction across the world; however, it is rather underdeveloped in transportation infrastructure construction. This paper addresses major hurdles hindering the wider adoption of 3DCP for unreinforced/plain pipe culvert construction. More specifically, the authors investigated the load-bearing capacity of large-scale pipes under the three-edge bearing (TEB) test. Additionally, the effects of printing discontinuities or seam sections on the structural behavior of 3DCP pipes, and their site implementation considerations as culvert structures were studied in …

Computational Analysis Of Dna Methylation From Long-Read Sequencing, Yilei Fu, Winston Timp, Fritz J Sedlazeck

Faculty, Staff and Students Publications

DNA methylation is a critical epigenetic mechanism in numerous biological processes, including gene regulation, development, ageing and the onset of various diseases such as cancer. Studies of methylation are increasingly using single-molecule long-read sequencing technologies to simultaneously measure epigenetic states such as DNA methylation with genomic variation. These long-read data sets have spurred the continuous development of advanced computational methods to gain insights into the roles of methylation in regulating chromatin structure and gene regulation. In this Review, we discuss the computational methods for calling methylation signals, contrasting methylation between samples, analysing cell-type diversity and gaining additional genomic insights, and …

Optical Coherence Tomography Enables The Depth-Resolved Measurement Of Cilia Beat Frequency In Ex Vivo Human Fallopian Tubes, Dilara J Long, Tian Xia, Photini F Rice, Deirdre M Scully, Makayla Johnson, Ryan Mistifer, Andrea Aguirre, John M Heusinkveld, Irina V Larina, Jennifer K Barton

Faculty, Staff and Students Publications

Objectives: The movement of cilia in the fallopian tubes (FTs) facilitates important processes involved in fertility, and abnormalities in cilia function are linked with diseases including endometriosis and pelvic inflammatory disease. For the first time, we demonstrate the use of optical coherence tomography (OCT) to create depth-resolved mapping of motile cilia locations and quantify cilia beat frequency (CBF) in human FT samples ex vivo.

Methods: Segments of the FT ampulla were acquired from five patients following salpingectomy under an IRB approved protocol. The samples were longitudinally opened to expose the luminal surface for imaging. A sequence of at least 500 …

Electromagnetic Treatment Enhancing Performance Of Metal Materials: A Review, Lechun Xie, Hongxin Sun, Yan Wen, Lin Hua, Lai Chang Zhang

Research outputs 2022 to 2026

Due to the limitations of traditional metal processing methods, including high energy consumption, slow process dynamics and possible introduction of defects, electromagnetic treatment has been highlighted as a more environment-friendly and energy-efficient alternative, which can efficiently and selectively enhance material properties. This article summarizes the latest advances in electromagnetic treatment of metal materials to enhance material performance and outlooks the directions in electromagnetic treatment technology. It delves into electromagnetic field applications in manipulating the microstructure and properties. First, it explores the potential mechanisms of interaction between electromagnetic fields and metal materials, including thermal and athermal effects. Afterwards, it provides a …

Assessing The Effectiveness Of Crawlers And Large Language Models In Detecting Adversarial Hidden Link Threats In Meta Computing, Junjie Xiong, Mingkui Wei, Zhuo Lu, Yao Liu

Computer Science Faculty Research & Creative Works

In the emerging field of Meta Computing, where data collection and integration are essential components, the threat of adversary hidden link attacks poses a significant challenge to web crawlers. In this paper, we investigate the influence of these attacks on data collection by web crawlers, which famously elude conventional detection techniques using large language models (LLMs). Empirically, we find some vulnerabilities in the current crawler mechanisms and large language model detection, especially in code inspection, and propose enhancements that will help mitigate these weaknesses. Our assessment of real-world web pages reveals the prevalence and impact of adversary hidden link attacks, …

Ibi-Dt: A Novel Approach Combining Individualized Bayesian Inference And Decision Tree For Identifying Cancer Drivers And Their Interactions, Md Asad Rahman, Gregory F. Cooper, Jinying Zhao, Xinghua Lu, Jinling Liu

Engineering Management and Systems Engineering Faculty Research & Creative Works

Cancer is mainly caused by a relatively small portion of somatic genome alterations (SGAs), called cancer drivers. Despite success in identifying a good number of cancer drivers, many more remain to be discovered to explain various cancers. Moreover, limited tools are available to identify potential interactions among cancer drivers for a better understanding of oncogenesis. To tackle these challenges, we have developed a novel approach called individualized Bayesian inference using a decision tree (IBI-DT). IBI-DT recognizes the genetic heterogeneity among cancer patients, where different individuals or patient subgroups of distinct genomic makeup may have different drivers. IBI-DT works by constructing …

Understanding The Relationship Between Structural Failure And Fatalities In Tornadoes: A Quantitative Investigation Of The 2021 Midwest Tornado Outbreak, Yi Zhao, Ruwen Qin, John W. Van De Lindt, Justin Sharpe, Grace Yan

Engineering Management and Systems Engineering Faculty Research & Creative Works

During 1950-2011, the number of fatalities caused by tornadoes in the U.S. significantly exceeded the fatalities caused by both hurricanes and earthquakes. To reduce tornado induced fatalities, it is essential to understand how structures/building failures correlate with fatalities and who are more vulnerable to tornadoes. Insights from this study are intended to help provide information to decision-makers on where to allocate limited resources for enhancing tornado resilience. By examining both the fatality data and structural damage data in the 2021 Midwest Tornado Outbreak, the objective of this study is to examine the occurrence of fatalities during tornadoes across various types …

September 2025, Office Of Research

Research Update

No abstract provided.

Recent Advances In The Design Principles Of Lithium Selective Membranes, Shayan Abrishami, Huan Xiao, Mohsen Asadnia, Ze Xian Low, Amir Razmjou

Research outputs 2022 to 2026

The growing demand for lithium in energy storage applications has intensified the need for efficient lithium extraction technologies, with membrane processes emerging as a promising approach. Among various membrane technologies, nanostructured membranes with precisely engineered channels have shown exceptional potential for selective lithium extraction due to their ability to control ion transport at the molecular level. This review provides a comprehensive analysis of the fundamental design principles governing lithium-selective membranes, with a specific focus on nanochannel-based systems. We examine the critical parameters that influence lithium selectivity, including surface charge distribution, nanochannel dimensions, morphology, and wettability, while exploring how these factors …