Digital Commons Network^™

Exploring Halogen Bonding Interactions In Cocrystals And Deep Eutectic Solvents, Madhushi Bandara

All Dissertations

Halogen bonding is a noncovalent intermolecular interaction analogous to hydrogen bonding that occurs between an electrophile and a nucleophile. This is often observed in compounds containing heavy halogens such as iodine and bromine. When these halogens are covalently bonded to another atom or molecule, preferably to an electron-withdrawing moiety, an electrophilic region called a sigma hole is created on the halogen atom on the extension of the covalent bond.

The first study of this dissertation presents a comprehensive characterization of eight newly synthesized triiodide salts using single-crystal X-ray diffraction, powder X-ray diffraction, thermal analysis (DSC and TGA), and Raman spectroscopy. …

Multi-Modal Data-Efficient Learning For 3d Machine Vision, Zhimin Chen

All Dissertations

The rapid progress of 3D computer vision has enabled a wide range of applications in autonomous driving, robotics, and augmented reality. Despite this growth, training robust 3D perception models remains challenging due to limited labeled data, the complexity of integrating multiple modalities, and the inherently imbalanced and long-tailed nature of 3D datasets. This dissertation addresses these challenges by proposing data-efficient, multi-modal learning frameworks that improve the accuracy, generalization, and scalability of 3D scene understanding.

In the semi-supervised setting, this work presents novel approaches that combine limited annotations with large amounts of unlabeled data to enhance 3D object classification and retrieval. …

Synthesis And Characterization Of Chemically Recyclable Polypropylene-Based Covalent Adaptable Networks, Andrii Tiiara

All Dissertations

Polyolefins (POs) are inexpensive engineering materials with excellent physical and mechanical properties, accounting for nearly 60% of all thermoplastics. However, large-scale recycling remains limited, with only ~15% undergoing mechanical recovery. This dissertation addresses this challenge by fragmenting and functionalizing polypropylene (PP) chains to generate macromonomers and employing them, along with industrial reactive PP macromonomers, to synthesize, depolymerize, and repolymerize chemically recyclable polypropylene-based polyolefins (CR-POs). These CR-POs incorporate ester linkages that form covalent adaptable networks (CANs), maintaining a gel fraction of ~70% while remaining melt-reprocessable via extrusion and compression molding.

First, the fragmentation of PP is investigated by microwave irradiation. Microwave …

Math For The Real World: Implementing A Standards-Based Math Curriculum With A Focus On Formative Assessment, Rachael Smilowitz

All Dissertations

This study investigated the relationship between the Ongoing Assessment Project (OGAP) professional development and the fidelity of implementation of the Illustrative Math Middle School curriculum in Roseland County School District. The district adopted Illustrative Math in 2016; however, many teachers either implemented it inconsistently or used only select components. While prior research has demonstrated that OGAP training can improve student outcomes on standardized assessments in large urban districts such as Philadelphia, little is known about its impact on teachers’ use of high-quality curricula such as Illustrative Math.

The study addressed three guiding questions: (1) How does participation in OGAP professional …

Robust Data-Driven Predictive Control Of Nonlinear Systems Under Modeling Uncertainty, Pegah Ghafghanbari

All Dissertations

Data-driven predictive control enables designing controllers directly from data, making it attractive for complex systems with hard-to-model dynamics. However, practical deployment is challenged by modeling inaccuracies and changing operating conditions. This dissertation develops predictive control frameworks that incorporate robustness and adaptability to address these issues in uncertain nonlinear systems.

The first part employs the Linear Parameter-Varying (LPV) framework, which represents nonlinear dynamics through simple linear form representation. To characterize the plant-model-mismatch often caused by limited data and numerical calculations, Bayesian Neural Networks (BNNs) are used, and their uncertainty estimates are integrated into two robust control approaches. The first is a …

Surface Reaction And Transportation Of Radium-226 In Marine Systems, Jiusi Wang

All Dissertations

Historical uses of radium (Ra)-containing self-luminous paint, such as on gauges and dials in naval ships, have led to the potential for such paint, and thus Ra, to be released into the marine environment. Radium-226 (²²⁶Ra) behavior in marine systems is not fully described in the literature, presenting a knowledge gap in the process of evaluating potential ecological impact of Ra in marine systems. This study explores various mechanisms contributing to Ra environmental transport in marine systems on a laboratory scale, including leaching, sorption, and diffusion. ²²⁶Ra leaching from watch hand dials containing radioactive luminous paint is …

Advancing Life Cycle Assessment Of Mass Timber: Environmental Performance, Circular Design And End-Of-Life Strategies, Muzan Williams Ijeoma

All Dissertations

Mass timber has emerged as a leading candidate for low-carbon construction, offering the dual benefits of reduced embodied emissions and biogenic carbon storage. Yet, fully realizing its sustainability potential requires a comprehensive and context-specific understanding of its environmental performance across the entire life cycle, from raw material production to building operation and beyond end-of-life (EoL). This dissertation advances life cycle assessment (LCA) practices for mass timber by addressing critical challenges across multiple phases of its life cycle. This dissertation is comprised of three published papers, and two submitted manuscripts. First, I conducted a critical review and meta-analysis of mass …

Hydrodynamics Of Perforated Heave Plates, Muhammad Usman

All Dissertations

Ocean waves are a clean and renewable energy source that can help reduce dependence on fossil fuels and combat climate change. To capture this energy, researchers have developed devices known as wave energy converters (WECs). One common type, called a two-body point absorber WEC, uses a buoy floating on the ocean surface connected to a submerged reaction plate, known as the heave plate, which lies underwater. The relative up-and-down motion between the buoy and the heave plate, driven by ocean waves, generates usable power via a power take-off (PTO) system. Traditionally, these submerged heave plates are solid structures. However, this …

Opposed-Piston Two Stroke Engine As A High Power Density Solution In Heavy Duty Applications: An Experimental Evaluation With Diesel And Ethanol, Ankur Bhatt

All Dissertations

With an increasing demand to reduce greenhouse gas (GHG) emissions, the conventional powertrain technology is at a saturation point. There is reinvigorated research interest in alternative powertrain designs that offer potentially higher efficiencies and lower engine-out emissions compared to conventional powertrains. The opposed piston two-stroke (OP2S) engine is one such alternative engine architecture that has demonstrated a reduction in engine-out emissions and increased efficiency compared to conventional four-stroke diesel engines. Like any two-stroke engine, the scavenging process and the composition of the internal residuals are predominantly governed by the pressure differential between the intake and the exhaust ports. Without dedicated …

Engage, Assess, Intervene, Evaluate: Barriers Facing The Elderly Population, Isabel Anderson, Gracie Brown, Mari Langton

Student Projects

This study examined barriers faced by older adults in Orange City, Iowa, through a mixed-methods community practice project incorporating assessment, implementation, and evaluation. During the assessment phase, researchers conducted interviews with elderly residents and professionals, gathered observational data, and facilitated community dialogue using the Nominal Group Technique. Key themes included social isolation, transportation challenges, financial strain, limited health literacy, and difficulty transitioning from independence to assisted living. A strong cultural emphasis on independence often discouraged help-seeking, while fragmented agency communication and rural limitations in specialized care further complicated service navigation. Asset mapping and power analysis highlighted community cohesion, faith-based support, …

Process Intensification Of Essential Oils Extraction Using Instantaneous Controlled Pressure Drop Technology, Muhammad Hassnain, Mohammed Ilyas Khaledi, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

Essential oils (EOs) are volatile, hydrophobic compounds derived from plants, widely used in food, cosmetic, pharmaceutical, and fragrance industries for their bioactive potential and associated health benefits. Traditional EO extraction methods are limited by low yields, long processing times, and thermal degradation of sensitive bioactive compounds. Instantaneous Controlled Pressure Drop (CID) technology is an advanced intensification method to overcome these challenges by applying compression-decompression cycles and modifying plant structure to enhance heat and mass transfer. This review provides a comprehensive analysis of CID technology and outlines its mechanism and principles. It compiles global research on CID applied to different plants …

Zero Day Malware Detection With Alpha: Fast Dbi With Transformer Models For Real World Application, Matthew Gaber, Mohiuddin Ahmed, Helge Janicke

Research outputs 2022 to 2026

The effectiveness of an AI model in accurately classifying novel malware hinges on the quality of the features it is trained on, which in turn depends on the effectiveness of the analysis tool used. Peekaboo, a Dynamic Binary Instrumentation (DBI) tool, defeats malware evasion techniques to capture authentic behavior at the Assembly (ASM) instruction level. This behavior exhibits patterns consistent with Zipf's law, a distribution commonly seen in natural languages, making Transformer models particularly effective for binary classification tasks. We introduce Alpha, a framework for zero-day malware detection that leverages Transformer models, Support Vector Machines (SVMs) and ASM language features. …

Global Estimates Of Seagrass Blue Carbon Stocks In Biomass And Net Primary Production, Enric Gomis, Simone Strydom, Nicole R. Foster, Diana Montemayor, Miguel A. Mateo, Eduard Serrano, Karina Inostroza, Roisin Mccallum, Anna Lafratta, Chanelle L. Webster, Caitlyn L. O’Dea, Nicole E. Said, Natasha Dunham, Rachele Bernasconi, Axel Werner, Federico Vitelli, Viena Puigcorbé, Alexandra D’Cruz, Cristian Salinas, Kathryn M. Mcmahon, Glenn A. Hyndes, Paul S. Lavery, Albert Pessarodona, Carlose M. Duarte, Oscar Serrano

Research outputs 2022 to 2026

Seagrass meadows play a key role in the global carbon cycle through storing carbon in their biomass and soils. However, the lack of global assessments of carbon stocks in seagrass biomass and net primary production (NPP) limits our understanding of their role in the carbon cycle. Here, we provide global estimates of biomass carbon stocks and NPP encompassing seagrasses with different life-history strategies, across bioregions and 66 countries. Seagrass meadows show up to 800-fold differences in biomass across different life-history strategies and bioregions (mean ± SE; 1551 ± 40 kg C ha⁻¹), whereas seagrass NPP (5833 ± 557 …

Theory And Technology Of Enhanced Coal Seam Gas Production By Integrated Drilling, Hydraulic Punching And Fracturing In Coal Mine: Part 2 Technology, Shiyao Yu, Xianbo Su, Jinxing Song, Qian Wang, Zhenjiang You

Research outputs 2022 to 2026

To enhance the efficiency and cost-effectiveness of coal seam gas extraction in coal mines, this study introduces an integrated approach combining drilling, hydraulic punching, and fracturing technologies. This method optimizes drilling media tailored to specific coal seams and fine-tunes technical parameters during drilling and permeability improvement processes. Furthermore, it clarifies the relationships among the coal breaking rate, discharge of drill cuttings, jet velocity, rotation speed, and displacement. This ensures precise and effective permeability improvement in both soft and hard coal formations. To implement this technology, a set of high-performance drilling tool with a large inner diameter, high pressure resistance, and …

Photocatalytic Performance Of N-Doped Ti3o5 Nano-Catalyst For Phenolic Compounds Removal From Industrial Wastewaters, Mehdi Narimani, Maryam Gonbadi, Mahsa Navabi, Fatemeh Khezri-Shooshtari, Amin Ale Ebrahim, Mohammad Mahdi Zerafat

Research outputs 2022 to 2026

This study is focused on the synthesis and evaluation of TiO2 and N-doped Ti3O5 for the photocatalytic degradation of phenol as a noxious substance commonly present in the industrial process effluents with harmful effects on human and the environment. The research addresses the critical environmental challenge posed by phenol-contaminated effluents from petrochemical industries. Leveraging Response Surface Methodology with Box-Behnken design, 17 experiments were conducted to analyze the impact of independent variables such as photo-catalyst dosage, pH, and irradiation time on degradation efficiency. Notably, the average crystallite sizes were determined as 20 nm for TiO2 and 58.3 nm for N-doped Ti3O5. …

Effects Of Exercise Or Diet Or Combined Interventions On Treatment Efficacy Of Chemotherapy For Cancer: A Systematic Review, Cristina Crespo-Garcia, Francesco Bettariga, Dennis R. Taaffe, Carolyn J. Peddle-Mcintyre, John P. Campbell, Emily Jeffery, Anna Maria Markarian, Anita Borsati, Alice Avancini, Sara Pilotto, Daniel A. Galvao, Robert U. Newton

Research outputs 2022 to 2026

Purpose of Review: While exercise and dietary interventions in patients with cancer undergoing chemotherapy have been demonstrated to be safe and feasible and improve patient-reported outcomes, the effects on treatment efficacy have not been widely examined and remain unclear. This review aimed to examine the effects of exercise, dietary, and combined interventions on tumour response and time-to-event outcomes in patients with cancer undergoing chemotherapy. Recent Findings: A systematic review of intervention studies was conducted based on PRISMA guidelines Databases searched were PubMed, Medline, CINAHL, Embase, and Web of Science. Methodological quality and risk of bias were assessed using the RoB2 …

The Significant Impact Of Hot Isostatic Pressing On The Corrosion Behavior Of Ti-6al-4v Alloy Prepared By Electron Beam Powder Bed Fusion, Hongyu Zheng, Yun Bai, Wentao Hou, Zirong Zhai, Lai Chang Zhang, Shujun Li, Rui Yang

Research outputs 2022 to 2026

This work investigated the effect of hot isostatic pressing (HIP) on the corrosion behavior of Ti-6Al-4V samples prepared by electron beam powder bed fusion (EB-PBF). After the HIP treatment, the TiO2 content decreased but the growth rate of passivation films increased, leading to increase in internal defect density, thereby degrading the corrosion resistance. Amongst the different factors impacted by HIP including pore defects, β-phase, texture and morphology of α-phase, the morphology of α-phase played a dominant role in determining the corrosion performance of EB-PBF processed alloy.

Confinement-Dependent Transient Mi For The Hoek-Brown (H-B) Strength Criterion, Hao Li, Leo Pel, Zhenjiang You, David Smeulders

Research outputs 2022 to 2026

The growing global demand for mineral resources necessitates deeper excavation, where increasing in situ stresses pose significant geomechanical challenges. Consequently, an accurate strength assessment of deep-seated rock masses is crucial for ensuring the safety and reliability of underground excavations. The Hoek-Brown (H-B) strength criterion remains a widely applied rock strength criterion. However, its conventional form struggles to characterize the full nonlinear evolution of rock strength from pre-critical to critical conditions across varying confining stresses. To address this limitation, this study proposes a Confinement-dependent Transient mi Model (CTM) as an enhancement to the H-B criterion. By incorporating confinement-sensitive variations of mi, …

A Critical Review On Selecting Performance Evaluation Metrics For Supervised Machine Learning Models In Wastewater Quality Prediction, Hoda Khoshvaght, Ratish Ramyad Permala, Amir Razmjou, Mehdi Khiadani

Research outputs 2022 to 2026

While numerous machine learning (ML) models have been applied to wastewater treatment plant (WWTP) quality prediction tasks, significantly less attention has been paid to the selection and interpretation of performance evaluation metrics. Most studies rely on general-purpose regression metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and the Coefficient of Determination (R²). Although widely used, these metrics differ considerably in terms of interpretability, sensitivity to data anomalies, and suitability for dynamic, noisy environments like WWTPs. This review, based on a systematic literature analysis of 27 performance evaluation metrics, critically …

Enhanced Degradation Of Triclosan Using Aerated Hydrodynamic Cavitation: Turbulence-Based Modelling And Economic Evaluation, Mehdi Khiadani, Ensiyeh Taheri, Veena Bobade, Ali Fatehizadeh

Research outputs 2022 to 2026

Pharmaceutical and personal care product (PPCP)-contaminated wastewater, particularly with triclosan (TCS), poses a significant environmental concern due to TCS persistence, ecotoxicity, and endocrine-disrupting effects, necessitating the development of efficient and sustainable remediation technologies. In this study, the degradation of TCS using hydrodynamic cavitation coupled with air injection (aerated HC process) is investigated as a green and chemical-free treatment method for wastewater treatment. Initially, the optimum operating conditions of the standalone HC process were determined by varying the inlet pressure and flow rate, which were found to be 2.34 bar and 0.45 L/s, respectively, corresponding to the highest turbulence frequency level …

Experimental Study On Stability, Rheology, And Co2 Storage Capacity Of Polymer-Enhanced Foams In Carbonates, Muhammad Mushtaq, Mudassar Mumtaz, Emad W. Al-Shalabi, Waleed Alameri, Georgios N. Karanikolos, Stefan Iglauer

Research outputs 2022 to 2026

Polymer-enhanced CO2 foam (PEF) is an emerging technology that improves gas mobility control in chemical enhanced oil recovery applications. It also has significant potential for storing CO2 in geological formations, which can help mitigate anthropogenic emissions. Traditional surfactant-based foams are often weak and unstable, particularly under the high-salinity and high-temperature conditions commonly found in Middle Eastern carbonate reservoirs. However, adding a small amount of stable polymer to these foams can enhance their stability, rendering them more suitable for harsh environments. This study focuses on designing and thoroughly evaluating a PEF formulation under supercritical CO2 conditions at 95 °C temperature, 1500 …

Interface Engineering And Safety In Solid-State Batteries: Advancing From Human-Centered Insights To Ai-Driven Innovations, Elnaz Karimi, Stefan Iglauer, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

Solid-state batteries (SSBs) represent a transformative advancement in energy storage, offering superior safety, higher energy density and extended cycle life compared to conventional lithium-ion batteries (LIBs). However, challenges related to interface engineering—particularly in ensuring stable electrochemical performance and preventing lithium dendrite formation—have hindered their widespread adoption and can compromise safety. Effective interface engineering is critical for mitigating interfacial resistance, enhancing mechanical stability and preventing thermal runaway, all of which are vital for improving battery reliability. The integration of artificial intelligence (AI) and machine learning (ML) in this context accelerates battery optimization by enabling predictive modelling of interfacial behaviour, material discovery …

Machine Learning Assisted Quality Control In Metal Additive Manufacturing: A Review, Zeqi Hu, Changlin Huang, Lechun Xie, Lin Hua, Yujie Yuan, Lai Chang Zhang

Research outputs 2022 to 2026

Additive manufacturing (AM) promotes the production of metallic parts with significant design flexibility, yet its use in critical applications is hindered by challenges in ensuring consistent quality and performance. Process variability often leads to defects, insufficient geometric accuracy and inadequate material properties, which are difficult to effectively manage due to limitations of traditional quality control methods in modeling high-dimensional nonlinear relationships and enabling adaptive control. Machine learning (ML) offers a transformative approach to model intricate process-structure-property relationships by leveraging the rich data environment of AM. The study presents a comprehensive examination of ML-driven quality assurance implementations in metallic AM. First, …

Performance Study Of A Woody Downdraft Gasifier: Numerical Investigation And Experimental Validation, Md Sanowar Hossain, Showmitro Bhowmik, Mujahidul Islam Riad, Md Golam Kibria, Barun K. Das, Sanjay Paul

Research outputs 2022 to 2026

Biomass gasification is an established and widely utilized renewable energy system. The research work aims to develop and construct a downdraft gasifier to investigate gasifier performance. The gasifier’s performance and cold gas efficiency were calculated for three volumetric airflow rates: 7.16 m3/h, 5.97 m3/h, and 4.78 m3/h. The efficiency was found maximum of 69.6% for an airflow rate of 7.16 m3/h. The oxidation zone and neck region of the gasifier reactor had the maximum recorded temperatures of 845 °C and 823 °C for Swietenia macrophylla (SM) and Mangifera indica (MI), respectively. A two-dimensional computational fluid dynamics (CFD) model for a …

Bio-Inspired Computational Intelligence Metaheuristic-Based Optimization And Sensitivity Analysis Approach To Determine Techno-Economic Feasibility Of Hydrogen Refueling Stations For Fuel Cell Vehicles, Paul C. Okonkwo, Samuel Chukwujindu Nwokolo, Saad S. Alarifi, Stephen E. Ekwok, Rita Orji, Sunday O. Udo, Ahmed M. Eldosouky, El Manaa Barhoumi, Barun Kumar Das, David Gomez-Ortiz, Kamal Abdelrahman, Anthony E. Akpan

Research outputs 2022 to 2026

This study presents a comprehensive economic and technological evaluation of renewable hybrid power systems for hydrogen refueling stations (HRS) in Nizwa, Oman, leveraging cutting-edge optimization algorithms to determine the most cost-effective and efficient hybrid energy system configurations. Three hybrid energy systems of photovoltaic-wind turbine-battery (PV-WT-B), photovoltaic-wind-fuel cell-battery (PV-WT-FC-B), and wind turbine-battery (WT-B) were evaluated based on net present cost (NPC), levelized cost of energy (LCOE), and levelized cost of hydrogen (LCOH). The study employs advanced optimization techniques, including the Mayfly Algorithm, Genetic Algorithm, CUKO Search, Gray Wolf Optimizer (GWO), Constrained Particle Swarm Optimization (CPSO), Harmony Search (HS), and Flower Pollination …

Theory And Technology Of Enhanced Coal Seam Gas Production By Integrated Drilling, Punching And Fracturing In Coal Mine: Part 1 Theory, Shiyao Yu, Xianbo Su, Jinxing Song, Qian Wang, Zhenjiang You

Research outputs 2022 to 2026

Coal seams in China are typically characterized by high coal seam gas content and low permeability, posing challenges for efficient coal seam gas extraction. However, achieving successful boreholes, especially in soft coal formations, remains a challenge. The mechanisms underlying permeability improvement in different coal structures need further exploration. Therefore, this paper is focused on the fundamental principles of permeability improvement in soft coal through hydraulic punching, and in hard coal via hydraulic jet fracturing. Firstly, borehole instability results from a dynamic interplay of four factors: in situ stress, coal structure, mechanical properties of coal with fluid, and drilling technology. While …

A Guide For Initiating And Managing Chimeric Antigen Receptor T Cell Therapy Clinical Trials In Autoimmune Rheumatic Diseases, Roberto Caricchio, Stacie Bell, Sasha Bernatsky, Maria Dall'era, David Goddard, Kenneth Kalunian, Alfred H J Kim, Fotios Koumpouras, Jose Rubio, Amit Saxena, Saira Sheikh, Lupus Clinical Investigators Network

2020-Current year OA Pubs

Chimeric antigen receptor (CAR) T-cell therapy, long transformative in oncology, is now rapidly emerging as a frontier in autoimmune rheumatic diseases, particularly systemic lupus erythematosus (SLE), driven by accumulating evidence of deep B-cell depletion, immune "resetting," and durable drug-free remission in early studies, yet its translation into rheumatology demands mastery of formidable logistical, regulatory, clinical, and ethical complexities that span institutional readiness, multidisciplinary team formation, stringent regulatory compliance, sophisticated operational workflows, comprehensive patient selection and education, meticulous clinical management of both classical toxicities (CRS, ICANS, ICAHT) and autoimmune-specific reactions such as LICATS, robust financial and resource planning, and long-term follow-up …

Optimization Of Size And Siting Of Distributed Generation In Unbalanced Distribution Systems: A Literature Review, Pema Dorji, Stefan Lachowicz, Octavian Bass

Research outputs 2022 to 2026

Renewable energy sources (RES) are essential for meeting the rising global electricity demand while reducing greenhouse gas emissions from conventional generation. As traditional systems approach capacity saturation, the integration of RES into power grids becomes increasingly vital. However, the intermittent and variable nature of RES introduces significant technical, economic, and operational challenges. This review focuses on the optimal planning and integration of distributed generation in unbalanced distribution systems, which more accurately reflect real-world power network conditions. Emphasis is placed on siting and sizing strategies aimed at enhancing voltage stability, minimizing power losses, and reducing system costs and emissions. The review …

The Good Life Paradox, Matthew Hammerton

Research Collection School of Social Sciences

Picture two people on their deathbeds. The first lived comfortably, surrounded by loving family and friends, enjoying diverse pleasures and achievements throughout a long life. The second dedicated herself entirely to fighting injustice, achieving remarkable social change, but at great personal cost. Who lived the better life?Your answer might depend on what you mean by ‘better’. Philosophers have long recognized that when we call a life ‘good’ we can mean different things. So we could be talking about a life’s moral goodness – how virtuous the person was – or its prudential goodness – how well the life went for …

Nanao/Organocatalyat Sio2/4-(2-Aminoethyl)-Morpholine As A New, Reusable, And Efficacious Catalyst For The Synthesis Of Polyhydroquinolines Derivatives And Antibacterially Active Evaluation, Leila Amiri-Zirtol, Zahra Karimi, Javad Farahbakhsh, Ahmad Gholami, Seyedeh Narjes Abootalebi

Research outputs 2022 to 2026

In this study, a new nanocomposite comprising 4-(2-Aminoethyl)-morpholine, an organic catalyst, was prepared on the surface of silica. The absence of metal in the catalyst structure contributes to its environmental friendliness. This novel nanocatalyst was used for multi-component reactions (MCRs). Having a nano size for the composite enhances the contact between the raw materials and the catalytic surface, leading to significant advancement in the reaction. The synthesized composite was identified and evaluated using FT-IR, EDX, EDX-Mapping, TGA, XRD, BET, TEM, and FE-SEM analysis. The characteristic analysis confirmed the synthesis of both nano-silica/4-(2-Aminoethyl)-morpholine catalyst and polyhydroquinoline. The composite’s catalytic properties for …