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Averaging Principle For A General Class Of Periodic Functions In Discrete Spaces, Martin Bohner, Jaqueline G. Mesquita, Sabrina Streipert Mar 2026

Averaging Principle For A General Class Of Periodic Functions In Discrete Spaces, Martin Bohner, Jaqueline G. Mesquita, Sabrina Streipert

Mathematics and Statistics Faculty Research & Creative Works

In this work, we develop a periodic averaging principle for arbitrary discrete time domains, leveraging a novel definition of periodicity. This definition does not rely on the classical requirement for the time domain itself to be periodic. We implement this averaging principle across diverse discrete time domains and explore a range of periodic functions within this extended context. The paper contains several examples with numerical simulations, providing visual demonstrations of our results. This highlights the versatility of our averaging principle and its potential to understand dynamics of nonautonomous recurrences with complex temporal patterns.

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Controllability Of The Semilinear Benjamin–Bona–Mahony Dynamic Equation On Homogeneous Time Scales, Martin Bohner, Cosme Duque, Hugo Leiva Mar 2026

Controllability Of The Semilinear Benjamin–Bona–Mahony Dynamic Equation On Homogeneous Time Scales, Martin Bohner, Cosme Duque, Hugo Leiva

Mathematics and Statistics Faculty Research & Creative Works

This work investigates the approximate controllability and free-time approximate controllability of a generalized semi linear Benjamin–Bona–Mahony type dynamic equation defined on homogeneous time scales, subject to homogeneous Dirichlet boundary conditions. To accomplish this, the problem is framed within an abstract setting, employing the -semigroup theory on time scales. Moreover, we apply a technique introduced by Bashirov et al. [1, 2], which enables us to avoid relying on fixed point theorems.

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March 2026 Cafe Newsletter, Missouri University Of Science And Technology Mar 2026

March 2026 Cafe Newsletter, Missouri University Of Science And Technology

CAFE Faculty Newsletters

Center for Advancing Faculty Excellence (CAFE) newsletter March 2026

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Failure Of Infrastructure Systems: A Multilevel Network Analysis Of Decision-Making And Influential Behavioral Constructs, Tamima Elbashbishy, Radwa Eissa, Islam H. El-Adaway, Jeffrey S. Russell Mar 2026

Failure Of Infrastructure Systems: A Multilevel Network Analysis Of Decision-Making And Influential Behavioral Constructs, Tamima Elbashbishy, Radwa Eissa, Islam H. El-Adaway, Jeffrey S. Russell

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

High-profile failures of infrastructure systems are often attributed to design flaws. However, these incidents can also stem from a broader set of interconnected decisions made by stakeholders involved in the planning, management, and operation of these systems. While ethical guidelines and professional codes are designed to prevent such failures, cognitive biases may undermine adherence. Previous research efforts, primarily focused on ethical violations using case studies, have overlooked how behavioral ethics constructs and professional conduct could drive these breaches. This paper addresses this knowledge gap by (1) conducting an analysis of three system failure cases at the micro, meso, and macro …

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Methodology For Surface Defect Assessment In 3d Concrete Printing Using Computer-Vision And Ultrasonic Testing Considering Structural Build-Up, Seongho Han, Eunjong Ahn, Myoungsu Shin, John S. Popovics, Kamal H. Khayat Mar 2026

Methodology For Surface Defect Assessment In 3d Concrete Printing Using Computer-Vision And Ultrasonic Testing Considering Structural Build-Up, Seongho Han, Eunjong Ahn, Myoungsu Shin, John S. Popovics, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study quantifies how interlayer time gaps and mixture rheology jointly influence interfacial integrity and mechanical performance in 3D concrete printing (3DCP). Two mixtures incorporating identical binders, but differing limestone fineness (4 and 50 μm) were printed with interlayer delays of 0, 2, and 5 min, corresponding to stacking rates of approximately 9, 0.5, and 0.2 m/h. The finer limestone mixture exhibited higher plastic viscosity (13.2 vs. 11.5 Pa s) and faster structural buildup (58 vs. 38 Pa/min), resulting in accelerated early stiffening. Deposition yield stress derived from buildup measurements remained low for 0–2 min (1400–1500 Pa for the higher-thixotropy …

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A Diffuse Interface Model And Fully Decoupled, Energy-Stable Scheme For The Two-Phase Ferrofluid Flows In Porous Media, Guo Dong Zhang, Shuai Zhou, Yunqing Huang, Xiaoming He, Xiaofeng Yang Mar 2026

A Diffuse Interface Model And Fully Decoupled, Energy-Stable Scheme For The Two-Phase Ferrofluid Flows In Porous Media, Guo Dong Zhang, Shuai Zhou, Yunqing Huang, Xiaoming He, Xiaofeng Yang

Mathematics and Statistics Faculty Research & Creative Works

We propose a new diffuse interface model for two-phase porous media ferrofluid flows, employing the phase-field method and establishing an associated energy law. This thermodynamically consistent multi-physics model integrates the Cahn-Hilliard equations, Darcy equations, the magnetostatic equation, and magnetization equations. To efficiently solve the system by addressing its inherent nonlinearities, coupling, and saddle-point structure, we incorporate several advanced techniques, including the SAV-ZEC method to handle nonlinearities and couplings, a reformulated approach to decouple the linear coupling of the magnetic potential and magnetization, and the pressure projection method to decouple velocity and pressure. This results in a numerical scheme that is …

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New Insights Into Dynamic Evolution Of Colloidal Network Structure During Early-Age Hardening Of Cementitious Materials, Hengrui Liu, Kaiyin Zhao, Shipeng Zhang, Hanghua Zhang, Shuangshuang Liu, Lucen Hao, Hongyan Ma, Kamal Khayat, Chi Sun Poon Mar 2026

New Insights Into Dynamic Evolution Of Colloidal Network Structure During Early-Age Hardening Of Cementitious Materials, Hengrui Liu, Kaiyin Zhao, Shipeng Zhang, Hanghua Zhang, Shuangshuang Liu, Lucen Hao, Hongyan Ma, Kamal Khayat, Chi Sun Poon

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The evolution of microstructure in cementitious materials during their transition from fluid to solid state plays a critical role in determining their ultimate mechanical strength and overall performance. This hydration stage primarily involves a dynamic densification process occurring within the colloidal network. However, the field of cement-based materials currently lacks a comprehensive theoretical framework and associated parameters capable of effectively characterizing the specific structural regions within this network. In this study, we propose an Improved Particle Linkage (IPL) theory for describing the strength, types, and quantities of particle linkages within colloidal network. The IPL theory classifies the internal network structure …

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An Seir Model On Time Scales With Discrete Applications To Tuberculosis, E. Akın, G. Yeni, D. Konur, S. R. Işık, M. R. Işık Mar 2026

An Seir Model On Time Scales With Discrete Applications To Tuberculosis, E. Akın, G. Yeni, D. Konur, S. R. Işık, M. R. Işık

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we propose a novel dynamical model on time scales consisting of new parameters to investigate the transmission dynamics of tuberculosis (TB), one of the deadliest infectious diseases worldwide, characterized by a long latency stage. The dynamical TB model, governed by the Susceptible–Exposed–Infected–Recovered (SEIR) framework within a unified form, yields a continuous model with a non-saturated incidence rate on the real numbers and discrete models with saturated incidence rates when different time domains are chosen. We analyze the stability of the equilibrium points of both the continuous TB model on the set of real numbers and the discrete …

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Electroactive Pvdf/Ti3c2tx Mxene Functionalized Nanofiber Mats With High Surface Potential For High-Efficiency Indoor & Outdoor Submicron Pm(0.3-2)Μm Filtration, Ashish Kakoria, Mirza Muhammad Zaid, Aamir Iqbal, Mahsa Moradi, Lina Zheng, Guang Xu Mar 2026

Electroactive Pvdf/Ti3c2tx Mxene Functionalized Nanofiber Mats With High Surface Potential For High-Efficiency Indoor & Outdoor Submicron Pm(0.3-2)Μm Filtration, Ashish Kakoria, Mirza Muhammad Zaid, Aamir Iqbal, Mahsa Moradi, Lina Zheng, Guang Xu

Mining Engineering Faculty Research & Creative Works

Fine PM0.3-2.0 rapidly penetrates the respiratory system and causes health problems. Commercial filters remove 0.3 μm particles at ∼95 % efficiency but impose high pressure drops that make breathing difficult. We fabricate a novel electrospun PVDF-Ti3C2Tx nanofiber mat for PM0.3–2.0 filtration. Where a high electric field stretched PVDF and PVDF-Ti3C2Tx solutions into ultrafine fibers that were collected as porous nanofibrous mats. PVDF was chosen for its electroactive behavior and high dielectric constant, enabling efficient electrostatic filtration. The incorporation of Ti3C2Tx MXene enhances surface charge density and interfacial polarization, …

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Pointwise Self-Homeomorphic Generalized Inverse Limits, Ali H. Ali, Faruq A. Mena, Robert Paul Roe Mar 2026

Pointwise Self-Homeomorphic Generalized Inverse Limits, Ali H. Ali, Faruq A. Mena, Robert Paul Roe

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we find uncountable families of generalized inverse sequences on intervals, where the bonding functions consist of a finite number of line segments, such that the inverse limit spaces of these sequences are pointwise self-homeomorphic continua. We give several examples of pointwise self-homeomorphic continua obtained in this manner including the dendrite D3 and a dendrite containing Dω. The dendrite D3 was obtained previously, by others, as a generalized inverse limit but the bonding function in that example contained infinitely many line segments. We show that the techniques we use on intervals can be extended to inverse limits where …

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Applying Direct Numerical Simulations To Investigate Wave Forcing Against A Vertical Wall, Hunter Boswell, Frank D. Han, Gaurav Savant, Guirong Yan, Wouter Mostert Mar 2026

Applying Direct Numerical Simulations To Investigate Wave Forcing Against A Vertical Wall, Hunter Boswell, Frank D. Han, Gaurav Savant, Guirong Yan, Wouter Mostert

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Current engineering standards lack the ability to predict the peak impact forces of breaking waves impinging directly upon coastal structures. In this study solitary waves impacting vertical and tapered walls are investigated. To capture the detailed physics of the wave profile that impacts the wall, two-dimensional direct numerical simulations are applied to model the wave traveling over a simplified bathymetry consisting of an initially uniform depth, followed by a uniform beach ramp and then terminating in a uniform depth inshore region and vertical wall. Such an approach can simulate wave runup on land and then the impact with the vertical …

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Applying Two-Stage Risk-Based Market Structures For Energy Hub-Based Plug-In Electric Vehicles Using Information Decision Gap Theory And A Hybrid Recurrent Convolutional Network, A. Heidari, R. C. Bansal, R. Bo Mar 2026

Applying Two-Stage Risk-Based Market Structures For Energy Hub-Based Plug-In Electric Vehicles Using Information Decision Gap Theory And A Hybrid Recurrent Convolutional Network, A. Heidari, R. C. Bansal, R. Bo

Electrical and Computer Engineering Faculty Research & Creative Works

This paper investigates the optimal operation of an energy hub engaged in both day-ahead and real-time trading. A two-stage optimization framework Information Gap Decision Theory (IGDT) for day-ahead bidding and stochastic programming with Monte Carlo scenarios for real-time recourse is applied. Risk-neutral, risk-averse, and risk-taking strategies are considered to capture different risk preferences. The hub integrates combined heat and power, renewable energy, plug-in electric vehicles, and vehicle-to-grid and grid-to-vehicle technologies. Price and load forecasts are generated using a hybrid recurrent convolutional network (HRCN). Results highlight the trade-off between risk management and economic performance: costs are 16.5 % higher in the …

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Warrior Bot, Relational Bot, Blameworthy Bot: How A Student Design Team Anthropomorphize Their Combat Robot Creations, Daniel Burton Shank, Frederick F. Sunkpal, Nova Lee Young, Karli Hoerstkamp, David Wright, Merilee A. Krueger, Carleigh J. Davis Mar 2026

Warrior Bot, Relational Bot, Blameworthy Bot: How A Student Design Team Anthropomorphize Their Combat Robot Creations, Daniel Burton Shank, Frederick F. Sunkpal, Nova Lee Young, Karli Hoerstkamp, David Wright, Merilee A. Krueger, Carleigh J. Davis

Psychological Science Faculty Research & Creative Works

How do robot designers anthropomorphize their own creations? Because robot designers have the ability to alter the robot, identify as its creator, and understand their robot's internal makeup, their process of anthropomorphism and its outcomes may be different from that of the typical robot user. We investigate this research question in the domain of combat robots, where anthropomorphism is critical to decision-making, communication, and trust in high-stakes, high-emotion combat situations faced by robot-soldier teams. We conducted an in-depth case study of a university's student-led Combat Robotics Design Team over the design, construction, testing, and competition phases for their competitive combat …

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Understanding Human Arm Stiffness Modulation In Overground Phri: The Roles Of Kinematics, Perturbation, And Trunk Sway, Mohsen Mohammadi Beirami, Sambad Regmi, Devin Michael Burns, Yun Seong Song Mar 2026

Understanding Human Arm Stiffness Modulation In Overground Phri: The Roles Of Kinematics, Perturbation, And Trunk Sway, Mohsen Mohammadi Beirami, Sambad Regmi, Devin Michael Burns, Yun Seong Song

Psychological Science Faculty Research & Creative Works

This study examines human arm kinematics during overground physical human-robot interaction (pHRI). Previous work showed humans adjust arm stiffness with changing trajectory uncertainty, but the roles of arm kinematics and muscle activation remained unclear. Building on a preliminary study, we analyzed arm movements with more participants (10 individuals) to achieve more reliable findings and examined two potential influences that arose in the preliminary study: the robot's perturbation effect (a brief hand push) and left-to-right trunk sway. Using a linear mixed-effects model, we evaluated the effects of participant, block, and trajectory condition on arm angles. Results showed minimal kinematic contribution to …

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Microstructural Evolution Of Zirconium Diboride Irradiated With 5–10 Mev Au Ions At Room Temperature And 570 °C, Narrie Loftus, José Olivares, Miguel Crespillo, Esther Enríquez Pérez, Jeremy Watts, Eric W. Bohannan, Gregory Hilmas, William Fahrenholtz, Joseph Graham Mar 2026

Microstructural Evolution Of Zirconium Diboride Irradiated With 5–10 Mev Au Ions At Room Temperature And 570 °C, Narrie Loftus, José Olivares, Miguel Crespillo, Esther Enríquez Pérez, Jeremy Watts, Eric W. Bohannan, Gregory Hilmas, William Fahrenholtz, Joseph Graham

Materials Science and Engineering Faculty Research & Creative Works

Zirconium diboride was irradiated with 5 MeV Au2 + , 7 MeV Au4+ and 10 MeV Au3+ ions at room temperature and 570 °C to doses from 1 to 8 displacements per atom (dpa). Grazing incidence X-ray diffraction (GIXRD) analysis revealed no secondary phase formation. Rietveld analysis of the GIXRD data indicated an accumulation of microstrain at low dpa and room temperature. Dislocations observed in transmission electron microscopy (TEM) cross-sections are likely the main contributor to the microstrain. High dpa and high-temperature samples exhibit lower lattice distortion than lower dpa samples, suggesting the presence of enhanced defect …

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Data-Driven Non-Precipitation Echo Removal Of Nexrad Radars Based On A Random Forest Classifier Using Polarimetric Observations And Goes-16 Data, Munsung Keem, Bong Chul Seo, Witold F. Krajewski, Sangdan Kim Mar 2026

Data-Driven Non-Precipitation Echo Removal Of Nexrad Radars Based On A Random Forest Classifier Using Polarimetric Observations And Goes-16 Data, Munsung Keem, Bong Chul Seo, Witold F. Krajewski, Sangdan Kim

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Highlights: What are the main findings? A Random Forest-based model using dual-polarimetric radar features achieves >99% accuracy in classifying precipitation and non-precipitation echoes. Multi-scale spatial variability features enhance discrimination between genuine precipitation and spurious echoes. Fusion of GOES-16 infrared satellite data with NEXRAD radar effectively removes non-precipitation echoes with precipitation-like signatures, including wind turbine clutter. A CAPPI scan strategy improves near-radar precipitation detection by recovering valid echoes misclassified at the lowest elevation due to side-lobe interference and limited sampling volume. What are the implications of the main findings? The model's robustness to noise and overfitting, combined with minimal hyperparameter tuning, …

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Advancing Activated Carbon Production: Utilizing Pine Pruning Biochar Via Induction Heating With Co2and Iron-Based Catalysts, Ahmet Erdem, Muthanna H. Al-Dahhan, Ahmed Jasim Mar 2026

Advancing Activated Carbon Production: Utilizing Pine Pruning Biochar Via Induction Heating With Co2and Iron-Based Catalysts, Ahmet Erdem, Muthanna H. Al-Dahhan, Ahmed Jasim

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study introduces an induction heating approach for producing activated carbon from biochar obtained by thermal degradation of pine pruning waste from timber-related industries, using CO2 and iron-based catalysts as activation agents. Activation experiments were performed using a 10 kW high-frequency induction system (28–40 kHz) under continuous CO₂ flow (15 mL min−1), with electric current intensities of 200, 300, 400, and 500 A (corresponding to 700–1100°C) and durations of 30, 60, and 90 min, employing 45 g of iron-based catalysts (Fe–Ni–Ti–C, 85:6:3:6 wt.%) per 3 g biochar (15:1 w/w). Mass loss increased from 13.7 % (200 A, …

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The Effect Of Reduction Of Input-Parameters On Data-Driven Prediction Of Critical Heat Flux In Rod Bundles Using Extended Parameters For Reactor Thermal–Hydraulic Safety, Rehan Zubair Khalid, Atif Khan, Farooq Ahmad, Muthanna H. Al-Dahhan, Atta Ullah Mar 2026

The Effect Of Reduction Of Input-Parameters On Data-Driven Prediction Of Critical Heat Flux In Rod Bundles Using Extended Parameters For Reactor Thermal–Hydraulic Safety, Rehan Zubair Khalid, Atif Khan, Farooq Ahmad, Muthanna H. Al-Dahhan, Atta Ullah

Chemical and Biochemical Engineering Faculty Research & Creative Works

Accurate prediction of the critical heat flux (CHF) is a key pillar for ensuring both the safety and economic performance of nuclear reactors. While machine learning (ML)-based methodologies have demonstrated considerable success in predicting CHF, most existing studies have been confined to simplified geometries, such as single tubes. Conversely, limited attention has been devoted to CHF prediction in realistic reactor environments, particularly within rod bundle configurations, where complex multiphase flow and heat transfer phenomena prevail. In this work we develop different AI models based on large dataset operating conditions as well as the complex geometric features of rod bundles. The …

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Sustainable Pathways For Fish Waste Oil Valorization Into Biofuel: Process Synthesis And Case Study, Hany A. Elazab, Radhi H. Alazmi, Abdelrahman El-Bagalaty, Hossam Tammam, Mahmoud El-Sayed, Mohamed Omar, Fathi Shokry, Mamdouh A. Gadalla, Fatma H. Ashour, Thokozani Majozi Mar 2026

Sustainable Pathways For Fish Waste Oil Valorization Into Biofuel: Process Synthesis And Case Study, Hany A. Elazab, Radhi H. Alazmi, Abdelrahman El-Bagalaty, Hossam Tammam, Mahmoud El-Sayed, Mohamed Omar, Fathi Shokry, Mamdouh A. Gadalla, Fatma H. Ashour, Thokozani Majozi

Chemical and Biochemical Engineering Faculty Research & Creative Works

Biodiesel is a promising, sustainable alternative to fossil fuels such as petrol and diesel. Currently, biodiesel can be produced from edible plant oils and non-edible sources and wastes. Notably, fish waste oil is a sustainable resource for transesterification reactions to produce biodiesel. This research proposes a general process design methodology to investigate the potential of biodiesel production from fish waste oil as a pathway for waste-to-energy. The methodology integrates Pinch Analysis principles and process simulation to optimize the energy efficiency of a process design. Real data are collected on fish waste from fish industries in Egypt, focusing on three regions …

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Thermally Stable Sic Particulate-Reinforced Sic Composites Up To 2000 ℃ Fabricated By Precursor Impregnation And Pyrolysis Method, Jian Gu, Vu Viet Hung, Lun Feng, William G. Fahrenholtz, Daejong Kim, Seyoung Kim, Sea Hoon Lee Mar 2026

Thermally Stable Sic Particulate-Reinforced Sic Composites Up To 2000 ℃ Fabricated By Precursor Impregnation And Pyrolysis Method, Jian Gu, Vu Viet Hung, Lun Feng, William G. Fahrenholtz, Daejong Kim, Seyoung Kim, Sea Hoon Lee

Materials Science and Engineering Faculty Research & Creative Works

The thermo-mechanical properties of SiC particulate-reinforced SiC composites (SiC-PRCs), fabricated using precursor impregnation & pyrolysis (PIP) process, were analyzed up to 2000 ℃. The relative density of the SiC-PRCs after 4 PIP cycles was 88.6 %. The number of PIP cycles required decreased to nearly half compared with the conventional PIP method by using ultra-high concentration slurries up to 70 vol%. In addition, room-temperature bending strength (215 MPa) and Young's modulus (269 GPa) improved as the solid loading of the slurry increased. The bending strength increased to 232 MPa at 2000 ℃ in Ar. Despite the thermal deterioration of the …

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A Software Package For Generating Robust And Accurate Potentials Using The Moment Tensor Potential Framework, Josiah Roberts, Biswas Rijal, Simon Divilov, Jon Paul Maria, William G. Fahrenholtz, Douglas E. Wolfe, Donald W. Brenner, Stefano Curtarolo, Eva Zurek Mar 2026

A Software Package For Generating Robust And Accurate Potentials Using The Moment Tensor Potential Framework, Josiah Roberts, Biswas Rijal, Simon Divilov, Jon Paul Maria, William G. Fahrenholtz, Douglas E. Wolfe, Donald W. Brenner, Stefano Curtarolo, Eva Zurek

Materials Science and Engineering Faculty Research & Creative Works

We present the Plan for Robust and Accurate Potentials (PRAPs), a software package for training and using moment tensor potentials (MTPs) in concert with the Machine Learned Interatomic Potentials (MLIP) software package. PRAPs provides an automated workflow to train MTPs using active learning procedures, and a variety of utilities to ease and improve workflows when utilizing the MLIP software. PRAPs was originally developed in the context of crystal structure prediction, in which one calculates convex hulls and predicts low energy metastable and thermodynamically stable structures, but the potentials PRAPs develops are not limited to such applications. PRAPs produces two potentials, …

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Superhard Refractory High-Entropy Diborides, M. D. Hossain, N. S. Mcilwaine, N. O. Marquez-Rios, A. C. Feltrin, V. Chawla, R. A. Mayanovic, W. G. Fahrenholtz, D. Penumadu, E. Zurek, D. W. Brenner, D. E. Wolfe, S. Divilov, H. Eckert, S. Curtarolo Mar 2026

Superhard Refractory High-Entropy Diborides, M. D. Hossain, N. S. Mcilwaine, N. O. Marquez-Rios, A. C. Feltrin, V. Chawla, R. A. Mayanovic, W. G. Fahrenholtz, D. Penumadu, E. Zurek, D. W. Brenner, D. E. Wolfe, S. Divilov, H. Eckert, S. Curtarolo

Materials Science and Engineering Faculty Research & Creative Works

Using first-principles calculations and companion experimental validations, we demonstrate that the valence electron concentration (VEC) can be used to self-consistently parameterize the bonding characteristics of high-entropy diborides (HEBs) and in turn predict their mechanical properties. When VEC is 10.0 per formula unit (f.u.), HEBs enter the superhard category where Hv>40GPa because bonding states are optimally filled to resist shear deformation. Conversely, above or below a VEC of 10.0, the hardness decreases due to the filling of antibonding or the emptying of bonding states of the HEBs, respectively. This result is supported by analyses of the electronic structure, bonding, antibonding, …

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A Borophosphate Glass Doped With Cobalt Oxide Improves Skeletal Muscle Structure And Function In Myopathic Mice, Jacob A. Kendra, Alexandra G. Naman, Rebekah L. Blatt, Carla D. Zingariello, Richard K. Brow, Steven S. Segal, Aaron B. Morton Mar 2026

A Borophosphate Glass Doped With Cobalt Oxide Improves Skeletal Muscle Structure And Function In Myopathic Mice, Jacob A. Kendra, Alexandra G. Naman, Rebekah L. Blatt, Carla D. Zingariello, Richard K. Brow, Steven S. Segal, Aaron B. Morton

Materials Science and Engineering Faculty Research & Creative Works

Skeletal muscle myopathy remains a significant cause of disability with limited treatment strategies. Advancements in tissue engineering have led to the development of borophosphate bioactive glasses (BPBGs) capable of enhancing skeletal muscle structure and function. Using a mouse model of severe myopathy (D2.mdx), we investigated muscle force, regeneration, angiogenesis and inflammation at 14, 70 and 140 days post-treatment (dpt). Tibialis anterior (TA) muscles of D2.mdx mice that received a single injection of cobalt oxide-doped BPBG (CoO-TRIM) particles exhibit greater active force, myofiber size, and regeneration through 70 dpt compared to control D2.mdx mice injected with Saline. Vascular endothelial growth factor …

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Microwave Dielectric Properties Of Geopolymer Precursor Powders, Linh T. Duong, Abu Naser Rashid Reza, Kristen M. Donnell, Christopher R. Shearer Mar 2026

Microwave Dielectric Properties Of Geopolymer Precursor Powders, Linh T. Duong, Abu Naser Rashid Reza, Kristen M. Donnell, Christopher R. Shearer

Electrical and Computer Engineering Faculty Research & Creative Works

Geopolymers are sustainable structural materials with properties similar to ordinary Portland cement concrete. To better understand the fundamental reaction mechanisms of geopolymers, a microwave materials characterization approach is used. In this research work, the dielectric properties (permittivity and loss factor) of common precursor powders used to make geopolymers (GPPs)—fly ash, lime, metakaolin, silica fume, slag, and zeolite—are measured over the S- and X-band frequency ranges (i.e., 2.0–4.0 GHz and 8.2–12.4 GHz, respectively). The physical characteristics, elemental composition, mineralogical properties, and phase characterization of the GPPs are then correlated to dielectric properties. Permittivity of GPP, classified as pozzolanic or latent hydraulic, …

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Stard-Net: Spatiotemporal Attention For Robust Detection Of Tiny Airborne Objects From Moving Drones, Hasibur Rahman, Sanjay Kumar Madria Mar 2026

Stard-Net: Spatiotemporal Attention For Robust Detection Of Tiny Airborne Objects From Moving Drones, Hasibur Rahman, Sanjay Kumar Madria

Computer Science Faculty Research & Creative Works

The rapid adoption of drones across various domains, alongside advancements in computer vision, has driven growing interest in vision-based airborne object detection from moving aerial platforms. However, this task remains challenging due to the small scale of objects, camouflage within cluttered backgrounds, and occlusions. To address these challenges, we introduce an end-to-end detection framework that integrates a Drone Receptive Field Block (DRFB) to extract multiscale and geometrically diverse features, specifically designed to enhance the detection of small and camouflaged airborne objects. To model motion patterns over time while preserving spatial structure, particularly for detecting camouflaged, cluttered and occluded objects with …

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A Survey On Heterogeneous Computing Using Smartnics And Emerging Data Processing Units, Nathan Tibbetts, Sifat Ibtisum, Satish Puri Mar 2026

A Survey On Heterogeneous Computing Using Smartnics And Emerging Data Processing Units, Nathan Tibbetts, Sifat Ibtisum, Satish Puri

Computer Science Faculty Research & Creative Works

The emergence of new, off-path smart network cards (SmartNICs), known generally as Data Processing Units (DPU), has opened a wide range of research opportunities. Of particular interest is the use of these and related devices in tandem with their host's CPU, creating a heterogeneous computing system with new properties and strengths to be explored, capable of accelerating a wide variety of workloads. This survey begins by providing the motivation and relevant background information for this new field, including its origins, a few current hardware offerings, major programming languages and frameworks for using them, and associated challenges. We then review and …

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Intramolecular Nonbonding Interactions And Geared Phenyl Twisting In Para-Disubstituted 1,4-Diphenylazines: Electron Correlation Effects On Molecular Conformations And Enantiomerization, Kaidi Yang, Harmeet Bhoday, Rainer Glaser Mar 2026

Intramolecular Nonbonding Interactions And Geared Phenyl Twisting In Para-Disubstituted 1,4-Diphenylazines: Electron Correlation Effects On Molecular Conformations And Enantiomerization, Kaidi Yang, Harmeet Bhoday, Rainer Glaser

Chemistry Faculty Research & Creative Works

The results are reported of potential energy surface (PES) analyses of six symmetrical azines Yp − Ph − RC=N − N=CR − Ph − Yp, namely, the benzaldehyde azines 1H, 2H, and 8H with R = H and the acetophenone azines 1M, 2M, and 8M with R = Me. The Y substituents Cl (1), Br (2), and Me (8) were studied because sets of polymorphs I (C2-symmetry, azine twist τ ≈ 135 ± 10°, disrotatory phenyl twists ϕi ≠ 0°) and II (Ci-symmetry, τ = 180°, conrotatory ϕi ≠ 0°) were crystallized for these three azines. The …

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Positive Solutions For Nonlinear Fractional Differential Equations With A Disturbance Parameter On An Infinite Interval, Zhaocai Hao, Lu Song, Martin Bohner, Qianqian Gu, Panzhen Liu Feb 2026

Positive Solutions For Nonlinear Fractional Differential Equations With A Disturbance Parameter On An Infinite Interval, Zhaocai Hao, Lu Song, Martin Bohner, Qianqian Gu, Panzhen Liu

Mathematics and Statistics Faculty Research & Creative Works

This paper studies a class of integral boundary value problems of fractional differential equations with a disturbance parameter on an infinite interval. By applying the upper-lower solution method and fixed point index theory, the influence of the disturbance parameter on the existence of positive solutions is rigorously analyzed. We have obtained that the boundaryvalue problem admits at least twopositive solutions, one positivesolution or no solution. An example is provided to validate the results. The results of this study provide a significant complement and refinement to some existing findings.

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Magnetic Field Tuned Magnetic Order And Metamagnetic Criticality In Nonstoichiometric Ceaubi2, Halyna Hodovanets, Hyunsoo Kim, Tristin Metz, Yasuyuki Nakajima, Christopher J. Eckberg, Kefeng Wang, Jie Yong, Shanta R. Saha, David Graf, Nicholas P. Butch, Thomas Vojta, Johnpierre Paglione Feb 2026

Magnetic Field Tuned Magnetic Order And Metamagnetic Criticality In Nonstoichiometric Ceaubi2, Halyna Hodovanets, Hyunsoo Kim, Tristin Metz, Yasuyuki Nakajima, Christopher J. Eckberg, Kefeng Wang, Jie Yong, Shanta R. Saha, David Graf, Nicholas P. Butch, Thomas Vojta, Johnpierre Paglione

Physics Faculty Research & Creative Works

We present a detailed study of magnetization, resistivity, heat capacity, and x-ray and neutron powder diffraction measurements performed on single crystals of nonstoichiometric CeAuBi2, Au deficiency 18%, a strongly correlated antiferromagnet with Néel temperature TN = 13.2 K. Field-dependent magnetization measurements reveal a large magnetic anisotropy at low temperatures with an easy axis along the crystallographic c axis, in which direction a spin-flop transition exhibits strong features in magnetization, specific heat, and resistivity at Hc = 75 kOe. The constructed temperature-field phase diagram connects this transition to the suppression of magnetic order, which evolves from a …

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A Photosynthetic–Respiratory Electron Transport Chain Chimera Based On Photosystem I And Cytochrome C Oxidase On Graphene Oxide, Xiaoping Zhu, Matthew J. Kummer, Carolyn E. Lubner, Vasily Kurashov, William Carr, John H. Golbeck, Robert A. Niederman, Lev G. Mourokh, Shelley D. Minteer, Paul G. Falkowski, Michele Vittadello Feb 2026

A Photosynthetic–Respiratory Electron Transport Chain Chimera Based On Photosystem I And Cytochrome C Oxidase On Graphene Oxide, Xiaoping Zhu, Matthew J. Kummer, Carolyn E. Lubner, Vasily Kurashov, William Carr, John H. Golbeck, Robert A. Niederman, Lev G. Mourokh, Shelley D. Minteer, Paul G. Falkowski, Michele Vittadello

Chemistry Faculty Research & Creative Works

Te self-assembly of enzyme proteins on 2D nanomaterials has enabled the construction and functional control of viable biochemical pathways. However, enzymatic cascades, which combine essential components of the photosynthetic and respiratory electron transport chains in tandem, have thus-far remained elusive. Herein, we have investigated a galvanic biohybrid nano system coupling photosystem I and cytochrome c oxidase on the surface of graphene oxide nanosheets in colloidal suspension. Te oriented immobilization of the enzymes was facilitated by Ni-coordination sites tethered to the carbon basal plane, with negligible parasitic O2 consumption. Transient absorption and electrochemical measurements provided evidence of electron transfer between donors …

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