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Articles 271 - 300 of 17271
Full-Text Articles in Entire DC Network
Inclusion Engineering Through Deoxidation Practice Optimization For Enhanced Mechanical Properties Of Cast Cr-Ni-Mo Steel, Kingsley T. Amatanweze, Viraj A. Athavale, Simon Lekakh, Ronald J. O'Malley, Laura N. Bartlett
Inclusion Engineering Through Deoxidation Practice Optimization For Enhanced Mechanical Properties Of Cast Cr-Ni-Mo Steel, Kingsley T. Amatanweze, Viraj A. Athavale, Simon Lekakh, Ronald J. O'Malley, Laura N. Bartlett
Materials Science and Engineering Faculty Research & Creative Works
Deoxidation is an integral part of steelmaking, as it determines steel castability, cleanliness, and porosity levels of the final product. Steel quality is critical to its performance and can be sabotaged by impurities such as non-metallic inclusions and porosity. This study investigates the effects of four distinct deoxidation practices, using Al, Al-Ca, Zr-Ca, and Mn-Si respectively, on tensile strength, tensile ductility and impact toughness of a Cr-Ni-Mo steel. These deoxidation reactions were modeled on a commercially available thermodynamic software and possible inclusion product phases were predicted. The casting samples were studied on a scanning electron microscope (SEM) utilizing energy dispersive …
Post-Calcium Treatment Evolution Of Alumina (Al2o3) Inclusions Morphology, Naziru I. Fuseini, Ronald J. O'Malley, Todd P. Sander, Jeffrey D. Smith, Haiming Wen, Laura N. Bartlett
Post-Calcium Treatment Evolution Of Alumina (Al2o3) Inclusions Morphology, Naziru I. Fuseini, Ronald J. O'Malley, Todd P. Sander, Jeffrey D. Smith, Haiming Wen, Laura N. Bartlett
Materials Science and Engineering Faculty Research & Creative Works
The post-calcium morphological evolution of Al2O3 inclusions formed under high-oxygen supersaturation (~1000 ppm) was investigated through time-resolved sampling and quenching of aluminum-killed, calcium-treated steel. SEM-EDS analysis revealed the formation of angular two-phase CaO·Al2O3–CaS inclusions within 1 minute, gradually transforming into spherical liquid 12CaO·7Al2O3 and CaO·Al2O3 with a thin CaS layer around it. The 3D morphology of the CaS phase of the complex CaO·Al2O3–CaS inclusions observed at 1 minute appeared as a cone-cap attached to the partially modified CaO·Al2O3. This …
Thermodynamic Analysis Of Metal Segregation In Two Metal Boride-Carbide Ceramics Containing V With Cr, Hf, Ti, Or Zr, Ana C. Feltrin, Simon Divilov, Gregory E. Hilmas, Stefano Curtarolo, William G. Fahrenholtz
Thermodynamic Analysis Of Metal Segregation In Two Metal Boride-Carbide Ceramics Containing V With Cr, Hf, Ti, Or Zr, Ana C. Feltrin, Simon Divilov, Gregory E. Hilmas, Stefano Curtarolo, William G. Fahrenholtz
Materials Science and Engineering Faculty Research & Creative Works
Dual-phase carbide-boride ceramics in different vanadium-Me (Me = Cr, Hf, Ti, and Zr) binary systems were synthesized by boro/carbothermal reduction under stoichiometric and carbon-deficient conditions and densified by spark plasma sintering. Thermodynamic analysis was used to evaluate the influence of composition on the phase stability and metal segregation between phases, along with the resulting effects on microstructure and hardness. Pairing vanadium with Group IV elements (Hf, Ti, and Zr) consistently formed one boride and one carbide phase, while the Cr-V system formed a monoboride phase and a carbon-deficient carbide. Metal segregation trends depended on composition. Vanadium preferentially segregated to the …
Zirconium And Hafnium Interdiffusion Study In Zrb2–Hfb2 System, Yue Zhou, Ana C. Feltrin, William G. Fahrenholtz, Gregory E. Hilmas
Zirconium And Hafnium Interdiffusion Study In Zrb2–Hfb2 System, Yue Zhou, Ana C. Feltrin, William G. Fahrenholtz, Gregory E. Hilmas
Materials Science and Engineering Faculty Research & Creative Works
Interdiffusion of Zr and Hf in the diboride system was investigated. High-purity zirconium diboride (ZrB2) and hafnium diboride (HfB2) were prepared by a combination of boro-/carbothermal reduction synthesis and densification by spark plasma sintering. The bulk ceramics had relative densities of 99.3% for ZrB2 and 99.7% for HfB2, and both ceramics were phase-pure by x-ray diffraction analysis. Diffusion couples of ZrB2 and HfB2 were annealed at temperatures ranging from 2000°C to 2200°C for times from 4 to 12 h. Zr and Hf elemental concentration profiles were measured using energy dispersive spectroscopy …
Examining The Effect Of Newcomers’ Adaptability On Proximal And Distal Outcomes Of Organizational Socialization, Vahe Permzadian, Mishra Vipanchi
Examining The Effect Of Newcomers’ Adaptability On Proximal And Distal Outcomes Of Organizational Socialization, Vahe Permzadian, Mishra Vipanchi
Psychological Science Faculty Research & Creative Works
We investigate the role of individual adaptability (I-ADAPT) in newcomer socialization by exploring its effects on the proximal and distal outcomes of the work-role transition process. Based on I-ADAPT theory, our study assesses how I-ADAPT affects the three key indicators of newcomer adjustment (i.e., role clarity, task mastery, and social acceptance) and, in turn, their effect on the distal socialization outcomes of job satisfaction, turnover intention, and work withdrawal. Using a 2-wave prospective design, we collected data from 280 newcomers recruited through Prolific. Results indicated that I-ADAPT dimensions differentially predict newcomer adjustment, with learning adaptability affecting role clarity, uncertainty adaptability …
Computational Characterization Of A Recently Identified Disinfection Byproduct In Drinking Water: The Chloronitramide Anion And Its Monohydrate Complex, Thufail M. Ismail, Max R. Tucker, Gregory S. Tschumper
Computational Characterization Of A Recently Identified Disinfection Byproduct In Drinking Water: The Chloronitramide Anion And Its Monohydrate Complex, Thufail M. Ismail, Max R. Tucker, Gregory S. Tschumper
Chemistry Faculty Research & Creative Works
The chloronitramide anion (ClNNO2−) was recently identified as disinfection byproduct in drinking water, and various quantum chemistry methods (CCSD(T), MP2, B3LYP, ωB97XD, and M06-2X) are employed in this study to characterize this negatively charged species and its monohydrate complex. Both vertical and adiabatic quantities indicate the excess electron is bound by 3–4 eV. Four ClNNO2− monohydrate minima were identified, each exhibiting double ionic hydrogen bonding. The computed ClNNO2−⋯H2O interaction approaches 15 kcal/mol, and it induces pronounced vibrational frequency shifts in both fragments. Natural bond orbital analysis shows a redistribution of …
Electric Dipole Forbidden, Quadrupole Allowed Transitions In The Pure Rotational Spectrum Of Cyclopropylchloromethyldifluorosilane, Alexander R. Davies, Abanob G. Hanna, Alma Lutas, Gamil A. Guirgis, S. A. Cooke, Garry S. Grubbs
Electric Dipole Forbidden, Quadrupole Allowed Transitions In The Pure Rotational Spectrum Of Cyclopropylchloromethyldifluorosilane, Alexander R. Davies, Abanob G. Hanna, Alma Lutas, Gamil A. Guirgis, S. A. Cooke, Garry S. Grubbs
Chemistry Faculty Research & Creative Works
In a recent publication, some electric dipole forbidden, quadrupole allowed ΔJ = +2 and x-type transitions were observed in the chirped-pulse Fourier transform microwave spectrum of two conformations of cyclopropylchloromethyldifluorosilane. Many of these transitions arise from a handful of mixed states and mechanisms are proposed through which these transitions become weakly allowed. Observations of electric dipole forbidden, quadrupole allowed transitions in rotational spectra are unusual for molecules which contain a chlorine nucleus owing to the small quadrupole moment of 35Cl and 37Cl; thus, we believe we are the first to observe x-type transitions arising from perturbations caused by …
Hybrid Data-Driven Cement-Stabilized Soil Design: An Integration Of Machine Learning, Multi-Objective Optimization, And Life Cycle Assessment, Chikezie Chimere Onyekwena, Yunli Li, Ikenna J. Okeke, Ubani Obinna Uzodimma, Monday Uchenna Okoronkwo, Wenping Wu
Hybrid Data-Driven Cement-Stabilized Soil Design: An Integration Of Machine Learning, Multi-Objective Optimization, And Life Cycle Assessment, Chikezie Chimere Onyekwena, Yunli Li, Ikenna J. Okeke, Ubani Obinna Uzodimma, Monday Uchenna Okoronkwo, Wenping Wu
Chemical and Biochemical Engineering Faculty Research & Creative Works
Soil stabilization is crucial in geotechnical engineering, yet conventional methods are often time-consuming, resource-intensive, and environmentally unsustainable. Despite growing interest in Machine Learning (ML) and optimization tools for mix design, few studies integrate these methods with decision-making techniques and environmental assessment to support practical implementation. This study proposes a hybrid data-driven framework for predicting strength, optimizing mix compositions, and evaluating environmental impacts via life cycle assessment of cement-stabilized soft soils. Six ML models were evaluated, and the top-performing eXtreme Gradient Boosting (XGB) model was further improved using the Grey Wolf Optimizer (GWO). The optimized XGB-GWO model, integrated with a polynomial …
Performance And Mechanistic Insights Into Cement Systems Modified With Wastewater-Recovered Struvite, Ugochukwu Ewuzie, Rupack R. Halder, Abdulkareem O. Yusuf, Abiodun A. Saka, Godwin I. Ogbuehi, Titus C. Egbosiuba, Damilola A. Daramola, Monday Uchenna Okoronkwo
Performance And Mechanistic Insights Into Cement Systems Modified With Wastewater-Recovered Struvite, Ugochukwu Ewuzie, Rupack R. Halder, Abdulkareem O. Yusuf, Abiodun A. Saka, Godwin I. Ogbuehi, Titus C. Egbosiuba, Damilola A. Daramola, Monday Uchenna Okoronkwo
Chemical and Biochemical Engineering Faculty Research & Creative Works
Struvite, the stable hydration product and primary strength phase in magnesium ammonium phosphate cement (MAPC), derived from wastewater treatment, has recently been utilized as a sustainable additive to Portland cement (PC). However, its impacts on cement hydration kinetics, pore refinement, rheology, and the mechanisms underlying these processes have not been comprehensively studied. This study developed Portland cement-struvite (PCS) systems by replacing PC with 3–20 % struvite (ST wt.%: PCS3–PCS20) and evaluated these processes using isothermal calorimetry, 3D micro-computed tomography (μXCT), time-dependent rheometry, X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR), and the Krstulović-Dabić (K-D) model. The FTIR/XRD confirmed the coexistence …
Nanocatalytic Enhancement Of Local Heat Transfer In Continuous-Flow Thermal Reactors, Nasser Zouli, Nujud Maslamani, Ayman Yousef, Muthanna H. Al-Dahhan
Nanocatalytic Enhancement Of Local Heat Transfer In Continuous-Flow Thermal Reactors, Nasser Zouli, Nujud Maslamani, Ayman Yousef, Muthanna H. Al-Dahhan
Chemical and Biochemical Engineering Faculty Research & Creative Works
An experimental investigation was conducted to evaluate the thermal conductivity (TC) and local heat-transfer coefficients (LHTCs) of nanofluids containing alumina (Al2O3), hematite (Fe2O3), and copper oxide (CuO) nanoparticles dispersed in deionized water. A newly developed non-invasive LHTC probe was integrated into the inner wall of the test section to enable direct quantification of interfacial heat-transfer performance. The measurements were conducted under laminar and turbulent flow conditons across Reynolds numbers ranging from 1000 to 10,000. The selected nanoparticles were chosen based on their high intrinsic thermal conductivity, cost effectiveness, and, in the case …
Machine Learning In Peak Demand Forecasting: Foundations, Trends, And Insights, Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen, Wenlei Bai, Peizhi Shi, Richard Allmendinger, Yuchen Zhang, Jian Liu
Machine Learning In Peak Demand Forecasting: Foundations, Trends, And Insights, Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen, Wenlei Bai, Peizhi Shi, Richard Allmendinger, Yuchen Zhang, Jian Liu
Electrical and Computer Engineering Faculty Research & Creative Works
Peak demand forecasting involves predicting the maximum electricity demand within a specific period, which plays a key role in maintaining the efficiency and stability of power systems. The rapid evolution of power systems, driven by advanced metering infrastructure, local energy applications such as electric vehicles, and the increasing adoption of intermittent renewable energy, has introduced greater randomness and reduced predictability in peak demand. Given the pressing need to address more diverse implementation requirements across different contexts, accurate and reliable peak demand forecasting has become increasingly important. To the best of our knowledge, this study is the first to provide a …
An Improved United-Atom Potential For Molecular Dynamics Simulation Of Saturated Properties Of N-Alkanes, Wazih Tausif, Jordan Hartfield, Alex George, Zhi Liang
An Improved United-Atom Potential For Molecular Dynamics Simulation Of Saturated Properties Of N-Alkanes, Wazih Tausif, Jordan Hartfield, Alex George, Zhi Liang
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Multiple united-atom (UA) potential models have been developed in the literature to reproduce experimental saturated properties of n-alkanes using Monte Carlo simulations. When these UA potentials are employed in molecular dynamics (MD) simulations, MD simulations often give relatively poor predictions of saturated properties of n-alkanes, particularly the saturated vapor densities, due to the challenges in accurate calculation of long-range intermolecular forces beyond the cutoff distance in an inhomogeneous system. In this work, a new set of UA Lennard-Jones (LJ) interaction parameters for n-alkanes is proposed to reproduce the saturated properties, including saturated liquid and vapor densities (ρf and ρ …
Recent Advances Toward Damage-Tolerant 3d-Printed Titanium Alloys: Alloy Design Perspective, Saeid Alipour, Arezoo Emdadi, Ju Li
Recent Advances Toward Damage-Tolerant 3d-Printed Titanium Alloys: Alloy Design Perspective, Saeid Alipour, Arezoo Emdadi, Ju Li
Materials Science and Engineering Faculty Research & Creative Works
Twenty-year uninterrupted endeavor of titanium alloys printing has opened up a new paradigm in metal additive manufacturing (AM) to fabricate engineering components with required strength–density–corrosion combinations. Despite the remarkable advances in titanium AM, controlling the grain structure to print the parts with engineered microstructures, tailored mechanical properties, and minimum anomalies remains challenging. Numerous approaches have been implemented to address this challenge, such as printing parameter control, post-AM heat treatments, and thermomechanical processing. In addition to the aforementioned conventional approaches, novel techniques have been proposed that require employing hybrid manufacturing or developing the printer itself. One of the novel pathways in …
Heterogeneous Catalysis Of Large Biomolecules: Insights From Platinum Particle Size In Nad+Regeneration, Jianwei Li, Samuel Robertshaw, Shouying Huang, Shelley D. Minteer, Xiaodong Wang
Heterogeneous Catalysis Of Large Biomolecules: Insights From Platinum Particle Size In Nad+Regeneration, Jianwei Li, Samuel Robertshaw, Shouying Huang, Shelley D. Minteer, Xiaodong Wang
Chemistry Faculty Research & Creative Works
Nicotinamide adenine dinucleotide (NAD+) cofactor regeneration is essential for enabling dehydrogenase-promoted biosynthesis for value-added chemicals. Heterogeneous catalytic cofactor regeneration, using supported metal catalysts, is an emerging approach and has shown great promise. However, mechanistic insight remains largely unexplored. In this work, a series of silica-supported platinum (Pt) catalysts have been prepared for NAD+ cofactor regeneration, to understand the roles of Pt particle size and structure. A turnover frequency (TOF) 'volcano plot' was obtained for Pt clusters in the range of 2.2–7.1 nm, with the maximum TOF (136 h−1) observed at 5.6 nm. Selective Pt site …
Ultrasonic Extraction-Based Analysis Of Persistent Organic Pollutants In Blubber From False Killer Whales, Michael O. Eze, Eva Borras, Mitchell M. Mccartney, Don R. Bergfelt, Kristi L. West, Sarah E. Hooper, Cristina E. Davis
Ultrasonic Extraction-Based Analysis Of Persistent Organic Pollutants In Blubber From False Killer Whales, Michael O. Eze, Eva Borras, Mitchell M. Mccartney, Don R. Bergfelt, Kristi L. West, Sarah E. Hooper, Cristina E. Davis
Chemistry Faculty Research & Creative Works
In view of the toxic effects of persistent organic pollutants (POPs), fast and effective assessment of their concentrations in marine mammals is important for understanding individual and population-level health impacts. This study developed an ultrasonic-based method that is less time-consuming, uses minimal solvent, and thus is more sustainable than the gold standard Soxhlet method for accurate analysis of organochlorine pesticides (OCs), polychlorinated biphenyls (PCBs), and benzene hexachlorides (BHC) in false killer whale blubber. This method was developed by comparing concentrations of POPs obtained using the traditional Soxhlet and novel ultrasonic extraction methods using blubber from false killer whales (n = …
Synergistic V2ctₓ Mxene–Pani Hybrid With Expanded Interlayers For Ultrastable And High-Rate Pseudocapacitive Energy Storage, Amideddin Nouralishahi, Maryam Sharifi Paroushi, Mansour Razavi, Amarachi Clare Nnachor, Harish Singh, Manashi Nath
Synergistic V2ctₓ Mxene–Pani Hybrid With Expanded Interlayers For Ultrastable And High-Rate Pseudocapacitive Energy Storage, Amideddin Nouralishahi, Maryam Sharifi Paroushi, Mansour Razavi, Amarachi Clare Nnachor, Harish Singh, Manashi Nath
Chemistry Faculty Research & Creative Works
Recently, MXene-conducting polymer hybrids have emerged as promising electrode materials for sustainable energy storage applications, owing to their impressive electrochemical properties. Herein, we report the synthesis of vanadium carbide MXene nanoparticles (V2CTx-MXene) using innovative Spark Plasma Sintering (SPS) technology followed by exfoliation steps. The V2CTx nanoparticles were incorporated with PANI (MXene-PANI) by electrochemical polymerization of aniline monomers in the presence of V2CTx nanolayers, to be used as a highly efficient material for charge storage application. PANI nanofibers form a conductive and porous architecture, which intercalates the V2CTx nanoflakes. The resulting structure increases the interlayer spacing …
Energetics Analysis Of Solitary Waves Using A Multi-Layer Model, Hunter Boswell, Frank D. Han, Guirong Yan, Wouter Mostert
Energetics Analysis Of Solitary Waves Using A Multi-Layer Model, Hunter Boswell, Frank D. Han, Guirong Yan, Wouter Mostert
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study investigates the performance of a vertically-Lagrangian multi-layer model on numerically simulating shoaling and breaking two-dimensional solitary waves during both the breaking and post-breaking processes. The energy dissipation of the breaking event for the multi-layer waves is analyzed and compared to prior direct numerical simulation work with the same bathymetric and wave cases. It shows very similar data collapse to shallow-water inertial theory. For post-breaking behavior, bore characteristics are compared to an experimental study of bores formed from breaking solitary waves and similar results are found. While the multi-layer method was not found to behave sufficiently well for direct …
Influence Of Co2 Curing On Carbonation Depth, Phase Composition, And Micro-Mechanical Properties Of Fbc Ash-Blended Cementitious Materials, Heejung Jun, Seongho Han, Sanghwon Wi, Jinyoung Yoon
Influence Of Co2 Curing On Carbonation Depth, Phase Composition, And Micro-Mechanical Properties Of Fbc Ash-Blended Cementitious Materials, Heejung Jun, Seongho Han, Sanghwon Wi, Jinyoung Yoon
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study investigates the physicochemical and mechanical performance of cementitious composites incorporating fluidized bed combustion (FBC) ash under accelerated carbon dioxide (CO2) curing. FBC ash, due to its high contents of free calcium oxide (CaO) and sulfate (SO3), has been reported to cause challenges, such as volume instability and lower early-age strength. To address these limitations, CO2 curing was applied to promote accelerated carbonation and stabilize the hydration products. Cement paste and mortar samples, made with up to 40 % by cement weight replacement with FBC ash (labelled CF), were subjected to either CO2 curing …
Insight Into The Decalcification Mechanism Of Calcium Silicate Hydrate Under A Water–Heat–Salt Environment, Wei Zhang, Boya Zhang, Jia Sun, Juntao Dang, Xiangke Guo, Keliang Li, Bo Tao Huang, Biqin Dong, Hongyan Ma, Dongshuai Hou
Insight Into The Decalcification Mechanism Of Calcium Silicate Hydrate Under A Water–Heat–Salt Environment, Wei Zhang, Boya Zhang, Jia Sun, Juntao Dang, Xiangke Guo, Keliang Li, Bo Tao Huang, Biqin Dong, Hongyan Ma, Dongshuai Hou
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Understanding the decalcification mechanism of calcium silicate hydrate (C–S–H) under marine environments is crucial for concrete durability. In this study, the decalcification behavior of C–S–H under a water–heat–salt environment was systematically investigated through immersion experiments and reactive molecular dynamics simulations. Experimental results showed that elevated temperature and NaCl solution significantly accelerated Ca leaching and reduced the Ca/Si ratio of C–S–H. Simulation results further revealed that both high temperature and NaCl reduce the dissolution free energy of Ca, making its release more thermodynamically and kinetically favorable. Local structure analysis indicated that Cl– disrupts Ca–Os (O atoms in silicate tetrahedra) connection …
Robust And High-Efficiency Demodulation Of Ultra-Weak Fbg Arrays In Ofdr-Based Distributed Sensing, Zhaopeng Zhang, Yuxuan Cao, Xu Liu, Dingcheng Wang, Bo Liu, Chen Zhu
Robust And High-Efficiency Demodulation Of Ultra-Weak Fbg Arrays In Ofdr-Based Distributed Sensing, Zhaopeng Zhang, Yuxuan Cao, Xu Liu, Dingcheng Wang, Bo Liu, Chen Zhu
Electrical and Computer Engineering Faculty Research & Creative Works
A robust and high-efficiency demodulation scheme for optical frequency domain reflectometry (OFDR) based ultra-weak fiber Bragg grating (UWFBG) array detection system, originating from the Buneman frequency estimation (BFE) algorithm, is proposed and experimentally demonstrated. Due to the current limitations and imperfections of FBG inscription technology, the quasi-continuous inscription approach, along with its less-than-ideal outcomes, gives rise to problems of grating spectrum splitting and spectral distortion during the grating demodulation process. This renders the traditional approach of directly applying the BFE algorithm for grating demodulation ineffective, despite its significant enhancement of demodulation efficiency. To address this issue, we propose utilizing the …
Rogue Waves In Extended Gross-Pitaevskii Models With A Lee-Huang-Yang Correction, Sathyanarayanan Chandramouli, S. I. Mistakidis, G. C. Katsimiga, D. J. Ratliff, D. J. Frantzeskakis, P. G. Kevrekidis
Rogue Waves In Extended Gross-Pitaevskii Models With A Lee-Huang-Yang Correction, Sathyanarayanan Chandramouli, S. I. Mistakidis, G. C. Katsimiga, D. J. Ratliff, D. J. Frantzeskakis, P. G. Kevrekidis
Physics Faculty Research & Creative Works
We explore the existence and dynamical generation of rogue waves (RWs) within a one-dimensional quantum droplet-bearing environment. RWs are computed by deploying a space-time fixed point scheme to the relevant extended Gross-Pitaevskii equation (eGPE). Parametric regions where the ensuing RWs are different from their counterparts in the nonlinear Schrödinger equation are identified. To corroborate the controllable generation—relevant to ultracold atom experiments—of these rogue patterns, we exploit two different protocols. The first is based on interfering dam break flows emanating from Riemann initial conditions, and the second refers to the gradient catastrophe of a spatially localized waveform. A multitude of possible …
Rescue: Routing Under Evolving Stochastic Congestion And Uncertain Spread In Wildfire Emergencies, Sowjanya Tammali, Arindam Khanda, Anurag Satpathy, S. M. Shovan, Sajal K. Das
Rescue: Routing Under Evolving Stochastic Congestion And Uncertain Spread In Wildfire Emergencies, Sowjanya Tammali, Arindam Khanda, Anurag Satpathy, S. M. Shovan, Sajal K. Das
Computer Science Faculty Research & Creative Works
Wildfires cause unpredictable spread and panic-driven congestion, posing severe challenges to evacuation planning. We present RESCUE (Routing under Evolving Stochastic Congestion and Uncertain Spread in Wildfire Emergencies), a dynamic, risk-aware framework that models the road network as a time-varying weighted graph. RESCUE operates in two stages: (i) a preprocessing phase integrating fire forecasts, traffic density, and distance to assign edge weights, and (ii) a real-time routing phase that adaptively updates paths using a multi-granular strategy distinguishing macro-level disruptions (e.g., rapid spread) from micro-level changes (e.g., local congestion). Two stochastic edge-cost functions are introduced: the Edge-Fire Risk Function (EFRF), estimating road …
Datamut: Deterministic Algorithms For Time-Delay Attack Detection In Multi-Hop Uav Networks, Keiwan Soltani, Federico Corò, Punyasha Chatterjee, Sajal K. Das
Datamut: Deterministic Algorithms For Time-Delay Attack Detection In Multi-Hop Uav Networks, Keiwan Soltani, Federico Corò, Punyasha Chatterjee, Sajal K. Das
Computer Science Faculty Research & Creative Works
Unmanned Aerial Vehicles (UAVs), also known as drones, have gained popularity in various fields such as agriculture, emergency response, and search and rescue operations. UAV networks are susceptible to potential security threats, such as wormhole attacks, jamming, spoofing, and false data injection. Time-Delay Attack (TDA) is a unique attack in which malicious UAVs intentionally delay packet forwarding, posing significant threats, especially in time-sensitive applications. It is challenging to distinguish malicious delay from benign network delay due to the dynamic nature of UAV networks, intermittent wireless connectivity, or the Store-Carry-Forward (SCF) mechanism during multi-hop communication. Some existing works propose machine learning-based …
Enhanced Superconductivity And Vortex Dynamics In Quasi-1d Tas2 Nanowires, Mathew Pollard, Visakha Ho, Clarissa Wisner, Eric W. Bohannan, Yew San Hor
Enhanced Superconductivity And Vortex Dynamics In Quasi-1d Tas2 Nanowires, Mathew Pollard, Visakha Ho, Clarissa Wisner, Eric W. Bohannan, Yew San Hor
Chemistry Faculty Research & Creative Works
We report the synthesis of high-quality 2H-TaS2 nanowires via a controlled two-step conversion process from TaS3 precursors, achieving robust superconductivity with a transition temperature T c ≈ 3.6K, which is significantly higher than bulk 2H-TaS2 (T c ≈ 0.8K). Structural and compositional analyses confirm phase purity and preserved one-dimensional morphology, while magneto transport measurements reveal an enhanced upper critical field μ 0 H c2 (2K)≈5 T, far exceeding the bulk value (μ0Hc2 (0)≈1.17T), attributed to dimensional confinement and suppression of charge-density wave order. Magnetic characterization demonstrates complex vortex dynamics, including flux jumps and a …
Pciafl: Personalized And Class Imbalance-Aware Federated Learning For Driver Behavior Classification, Osho Osho, Shubh Garg, Suchetana Chakraborty, Sajal K. Das
Pciafl: Personalized And Class Imbalance-Aware Federated Learning For Driver Behavior Classification, Osho Osho, Shubh Garg, Suchetana Chakraborty, Sajal K. Das
Computer Science Faculty Research & Creative Works
Automated understanding of driver behavior from vehicular kinematics is vital for safety-aware intelligent transportation systems. However, centralized cloud processing suffers from latency, scalability, and privacy issues. Federated Learning (FL) provides a decentralized alternative but faces two major challenges: (i) non-IID client data due to heterogeneous driving styles and sensors, and (ii) severe class imbalance, as risky behaviors are inherently rare. In this work, we propose a personalized FL framework that uses a shared CNN-LSTM backbone with client-adaptive classifiers and incorporates a cost-sensitive loss to address behavior skew. Evaluated on the UAH-DriveSet dataset, our method achieves 92.60% accuracy and 91.68% macro-F1, …
Meshless Collocation Methods For Time-Dependent Nonlocal Problems Based On Radial Basis Functions, Qiao Zhuang, Yanzhi Zhang, Zhongqiang Zhang
Meshless Collocation Methods For Time-Dependent Nonlocal Problems Based On Radial Basis Functions, Qiao Zhuang, Yanzhi Zhang, Zhongqiang Zhang
Mathematics and Statistics Faculty Research & Creative Works
We present radial basis function (RBF) collocation methods for time-dependent space fractional problems on general bounded domains. Building on a recently developed approach for accurately computing the integral fractional Laplacian of any RBF, we design collocation schemes for fractional heat and Stokes equations using extended-domain techniques. In particular, we propose a numerical Leray projection method for fractional Stokes problems, where both the discrete projection operator and the collocation scheme are formulated on extended domains to handle complex domains. Numerical results demonstrate the effectiveness of the proposed methods in solving time-dependent nonlocal problems on complex domains.
Optimal Error Estimates For A Semi-Discrete Finite Element Scheme Of Cahn-Hilliard-Navier-Stokes-Darcy Model, Yanyun Wu, Yali Gao, Xiaoming He, Yanping Lin
Optimal Error Estimates For A Semi-Discrete Finite Element Scheme Of Cahn-Hilliard-Navier-Stokes-Darcy Model, Yanyun Wu, Yali Gao, Xiaoming He, Yanping Lin
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we present a rigorous optimal error analysis for a semi-discrete finite element method of the coupled Cahn-Hilliard-Navier-Stokes-Darcy model. The optimal convergence order for the phase variable in the L∞(0,T;H1) norm and the velocity in the L∞(0,T;L2) norm are proved with two key techniques. One key technique is establishing the discrete L2(0,T;H2)∩L2(0,T;L∞) boundedness of the numerical solution for the phase variable to handle the nonlinear regional coupling terms. Another key technique adopts the inverse inequality and Ritz projection to bound the L …
Fourier Pseudospectral Methods For The Variable-Order Space Fractional Wave Equations, Yanzhi Zhang, Xiaofei Zhao, Shiping Zhou
Fourier Pseudospectral Methods For The Variable-Order Space Fractional Wave Equations, Yanzhi Zhang, Xiaofei Zhao, Shiping Zhou
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we propose Fourier pseudospectral methods to solve the variable-order space fractional wave equation and develop an accelerated matrix-free approach for its effective implementation. In constant-order cases, fast algorithms can be designed via the fast Fourier transforms (FFTs), and the computational cost at each time step is O(NlogN) with N the total number of spatial points. In variable-order cases, however, the spatial dependence in the power s(x) leads to the failure of inverse FFTs. While the direct matrix-vector multiplication approach becomes impractical due to excessive memory requirements. Hence, we propose an accelerated matrix-free approach for effective implementation in …
Recycling Waste Polyethylene Terephthalate For Asphalt Modification: A Comprehensive Review On Material Properties, Processing Techniques, And Engineering Applications, Ruizhe Huang, Feng Ma, Ke Shi, Zhen Fu, Jenny Liu
Recycling Waste Polyethylene Terephthalate For Asphalt Modification: A Comprehensive Review On Material Properties, Processing Techniques, And Engineering Applications, Ruizhe Huang, Feng Ma, Ke Shi, Zhen Fu, Jenny Liu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Polyethylene terephthalate (PET) is a thermoplastic polyester widely used in beverage bottles and packaging materials, accounting for approximately 60% of global plastic production. Due to its non-biodegradable nature, the accumulation of waste PET has posed a serious environmental challenge worldwide. In recent years, the recycling of PET for use in road engineering has been considered an effective approach to promote resource circulation and reduce plastic pollution. This paper first reviews the main recycling methods of PET, including mechanical shredding and chemical depolymerization, and analyzes its molecular structure, thermal properties, and reprocessing adaptability. Two typical engineering application paths are then evaluated: …
Partially Penalized Anisotropic Trilinear Ife-Pic Methods For Dc Plasma Transport Problems, Jiahui Li, Guangqing Xia, Yajie Han, Ziping Wang, Chang Lu, Xiaoming He
Partially Penalized Anisotropic Trilinear Ife-Pic Methods For Dc Plasma Transport Problems, Jiahui Li, Guangqing Xia, Yajie Han, Ziping Wang, Chang Lu, Xiaoming He
Mathematics and Statistics Faculty Research & Creative Works
Implicit and hybrid particle-in-cell methods are widely used for efficient simulation of DC discharge plasma transport. However, their computations require solving anisotropic elliptic equations and face challenges related to mesh geometry, non-axisymmetry, and complex interfaces. Moreover, the accuracy of particle trajectories is critical for plasma etching and erosion studies, where errors near interfaces can significantly impact simulation results. To address these challenges, this paper proposes a three-dimensional anisotropic trilinear partially penalized immersed finite element (ATPPIFE) method, which captures interfaces on Cartesian meshes and effectively reduces discontinuities at interface element faces, ensuring that particle trajectories better align with real-world behavior. Building …