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Flow and heat transfer of a nanofluid through a porous medium due to stretching/shrinking sheet with suction,magnetic field and thermal radiation

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Applied Mathematics(A Journal of Chinese Universities) 2023年第3期38卷 373-391页

作者： Ubaidullah Yashkun Khairy Zaimi Suliadi Firdaus Sufahani Mohamed REid Mohammad Ferdows Centre of Excellence for Social Innovation and Sustainability Institute of EngineeringUniversiti Malaysia PerlisPauh Putra Campus02600ArauPerlisMalaysia Department of Mathematics Sukkur IBA UniversityAirport RoadSukkur65200SindhPakistan Department of Mathematics and Statistics Faculty of Applied Sciences and TechnologyUniversiti Tun Hussein Onn MalaysiaJohorMalaysia Department of Mathematics Faculty of ScienceNew Valley UniversityAl-Wadi Al-GadidAl-Kharga 72511Egypt Mathematics Department Faculty of ScienceNorthern Border UniversityArar 1321Saudi Arabia Research Group of Fluid Flow Modeling and Simulation Department of Applied MathematicsUniversity of DhakaDhaka-1000Bangladesh

This study investigates the suction and magnetic field effects on the two-dimensional nanofluid flow through a stretching/shrinking sheet at the stagnation point in the porous medium with thermal *** governing partial differential equations(PDEs)are converted into ordinary differential equations(ODEs)using the similarity *** resulting ODEs are then solved numerically by using the bvp4c solver in MATLAB *** was found that dual solutions exist for the shrinking parameter values up to a certain *** numerical results obtained are compared,and the comparison showed a good agreement with the existing results in the *** governing parameters’effect on the velocity,temperature and nanoparticle fraction fields as well as the skin friction coefficient,the local Nusselt number and the Sherwood number are represented graphically and *** variation of the velocity,temperature and concentration increase with the increase in the suction and magnetic field *** seems that the thermal radiation effect has increased the local Sherwood number while the local Nusselt number is reduced with it.

关键词： stagnation point flow nanofluid porous medium suction magnetohydrodynamic thermal radiation

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Transmission Power Control for Interference Reduction in Cellular D2D Networks

Transmission Power Control for Interference Reduction in Cel...

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International Symposium on Networks, Computers and Communications (ISNCC)

作者： Mehrdad Sadehvand Neda Moghim Behrouz Shahgholi Ghahfarokhi Sachin Shetty Department of Computer Engineering University of Isfahan Isfahan I.R.Iran Virginia Modeling Analysis and Simulation Center Old Dominion University Suffolk USA

Interference is one of the most critical issues in the cellular Device-to-Device (D2D) networks. The sharing of radio resources in cellular and D2D communications offers spectrum efficiency advantages for the cellular network. However, resource sharing also introduces interference, leading to a reduction in the quality of service experienced by users. In this paper, we propose an adversarial Multi-Armed Bandit learning-based transmission Power Control method called MAB-PC for both cellular and D2D transmitters. The objective of this method is to ensure the minimum service quality for users, considering the minimum spectral efficiency and maximum block error rate. Additionally, to address the conflicting objectives of D2D and cellular communications, MAB-PC is modeled as a Pareto optimization problem for D2D transmitters. MAB-PC is a distributed method that minimizes signaling overhead and relies solely on local Channel State Information (CSI). The effectiveness of the proposed method is evaluated based on reliability, total data rate, spectral efficiency, block error rate, and outage probability, demonstrating superior performance compared to its counterpart.

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Combined Deep Learning and Classical Potential Approach for modeling Diffusion in UiO-66

Combined Deep Learning and Classical Potential Approach for ...

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2023 AIChE Annual Meeting

作者： Achar, Siddarth K. Wardzala, Jacob J. Bernasconi, Leonardo Zhang, Linfeng Johnson, J. Karl Department of Chemical & Petroleum Engineering University of Pittsburgh PittsburghPA15261 United States Computational Modeling & Simulation Program University of Pittsburgh PittsburghPA15260 United States Center for Research Computing Department of Chemistry University of Pittsburgh PittsburghPA15260 United States DP Technology Beijing100080 China AI for Science Institute Beijing100080 China

modeling of diffusion of adsorbates through porous materials with atomistic molecular dynamics (MD) can be a challenging task if the flexibility of the adsorbent needs to be included. This is because potentials need to be developed that accurately account for the motion of the adsorbent in response to the presence of adsorbate molecules. In this work, we show that it is possible to use accurate machine learning atomistic potentials for metal−organic frameworks in concert with classical potentials for adsorbates to accurately compute diffusivities though a hybrid potential approach. As a proof-of-concept, we have developed an accurate deep learning potential (DP) for UiO-66, a metal− organic framework, and used this DP to perform hybrid potential simulations, modeling diffusion of neon and xenon through the crystal. The adsorbate−adsorbate interactions were modeled with Lennard−Jones (LJ) potentials, the adsorbent−adsorbent interactions were described by the DP, and the adsorbent−adsorbate interactions used LJ cross-interactions. Thus, our hybrid potential allows for adsorbent−adsorbate interactions with classical potentials but models the response of the adsorbent to the presence of the adsorbate through near-DFT accuracy DPs. This hybrid approach does not require refitting the DP for new adsorbates. We calculated self-diffusion coefficients for Ne in UiO-66 from DFT-MD, our hybrid DP/LJ approach, and from two different classical potentials for UiO-66. Our DP/LJ results are in excellent agreement with DFT-MD. We modeled diffusion of Xe in UiO-66 with DP/LJ and a classical potential. Diffusion of Xe in UiO-66 is about a factor of 30 slower than that of Ne, so it is not computationally feasible to compute Xe diffusion with DFT-MD. Our hybrid DP−classical potential approach can be applied to other MOFs and other adsorbates, making it possible to use an accurate DP generated from DFT simulations of an empty adsorbent in concert with existing classical potentials for ads

关键词： Molecular dynamics

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Multimodal Fluorescence Lifetime Imaging and Optical Coherence Elastography for Mesoscopic Structural, Biomechanical, and Molecular Imaging

Multimodal Fluorescence Lifetime Imaging and Optical Coheren...

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2024 Clinical and Translational Biophotonics, Translational 2024 - Part of Optica Biophotonics Congress: Biomedical Optic

作者： Chavez, Luis Gao, Shan Pandey, Vikas Yuan, Nanxue Li, Jiayue Hepburn, Matt S. Smith, Percy Edelheit, Caroline Corr, David T. Kennedy, Brendan F. Intes, Xavier Center for Modeling Simulation and Imaging for Medicine Rensselaer Polytechnic Institute TroyNY12180 United States BRITElab Harry Perkins Institute of Medical Research QEII Medical Centre Nedlands and Centre for Medical Research The University of Western Australia PerthWA6009 Australia Department of Electrical Electronic & Computer Engineering School of Engineering The University of Western Australia PerthWA6009 Australia Institute of Physics Nicolaus Copernicus University Torun Poland

We report on a methodology to manufacture multimodal phantoms with fluorescence lifetime imaging and optical coherence elastography contrasts. Phantom validation demonstrates the ability to tune fluorescence and strai... 详细信息

关键词： Phantoms

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Resonance behavior of different planar probe designs for active plasma resonance spectroscopy

Resonance behavior of different planar probe designs for act...

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2021 IEEE International Conference on Plasma Science, ICOPS 2021

作者： Friedrichs, Michael Oberrath, Jens Wang, Chunjie Brinkmann, Ralf Peter South Westphalia University of Applied Science Department of Electric Power Engineering Modeling and Simulation Soest Germany Ruhr University Bochum Institute of Theoretical Electrical Engineering Bochum Germany

ISBN: (纸本)9781665432276

Active Plasma Resonance Spectroscopy (APRS) is an industry compatible plasma diagnostic method, which takes advantage of the ability of the plasma to resonate close to the electron plasma frequency. Planar designs of this concept can be mounted plane-parallel into the chamber wall and are thus minimal invasive. They are promising candidates to monitor plasma processes. © 2021 IEEE.

关键词： Plasma diagnostics

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Investigating the Impact of Pandemic on the Perioperative Healthcare Workers Availability: An Agent-Based Approach

Investigating the Impact of Pandemic on the Perioperative He...

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simulation Winter Conference

作者： Shweta Prasad Vishnunarayan Girishan Prabhu William Hand Industrial and Systems Engineering Department University of North Carolina Charlotte NC USA School of Modeling Simulation Training University of Central Florida Orlando FL USA Department of Anesthesiology PRISMA Health - Upstate Greenville SC USA

ISBN: (数字)9798331534202

ISBN: (纸本)9798331534219

Protecting healthcare workers (HCWs) during a pandemic is critical to provide timely medical care for patients. Although prior studies have investigated HCW unavailability during the COVID-19 pandemic, the studies have not investigated the impact of parameters such as patient census, vaccination rates, transmission rates, and multiple hospital locations on HCW availability. This research considers a high-risk HCW group of perioperative staff to investigate the impact of segregating and rotating staffing policies on HCW unavailability during a pandemic in a health system with multiple locations. An agent-based model with a SEIR compartmental model was developed to simulate various scenarios. Simulated findings indicate that segregating and rotating policies significantly (p-value <0.01) reduced the peak weekly unavailability of HCWs and the total percentage of HCWs getting infected by as much as 25% and 60% when vaccination rates were lower (<75%). However, these benefits diminished when the vaccination rates increased to 75%.

关键词： COVID-19 Pandemics Hospitals Vaccines

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Aligning Motion-Blurred Images Using Contrastive Learning on Overcomplete Pixels

arXiv

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arXiv 2024年

作者： Pogorelyuk, Leonid Radev, Stefan T. Department of Mechanical Aerospace and Nuclear Engineering Rensselaer Polytechnic Institute TroyNY12180 United States Center for Modeling Simulation & Imaging in Medicine Rensselaer Polytechnic Institute TroyNY12180 United States

We propose a new contrastive objective for learning overcomplete pixel-level features that are invariant to motion blur. Other invariances (e.g., pose, illumination, or weather) can be learned by applying the corresponding transformations on unlabeled images during self-supervised training. We showcase that a simple U-Net trained with our objective can produce local features useful for aligning the frames of an unseen video captured with a moving camera under realistic and challenging conditions. Using a carefully designed toy example, we also show that the overcomplete pixels can encode the identity of objects in an image and the pixel coordinates relative to these objects. © 2024, CC BY.

关键词： Contrastive Learning

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BioNet-XR: Biological Network Visualization Framework for Virtual Reality and Mixed Reality Environments

arXiv

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arXiv 2024年

作者： Senderin, Busra Tuncbag, Nurcan Surer, Elif Department of Modeling and Simulation Graduate School of Informatics Middle East Technical University Ankara06800 Turkey Department of Chemical and Biological Engineering Koç University Istanbul34450 Turkey School of Medicine Koç University Istanbul34450 Turkey

Protein-protein interaction networks (PPIN) enable the study of cellular processes in organisms. Visualizing PPINs in extended reality (XR), including virtual reality (VR) and mixed reality (MR), is crucial for exploring subnetworks, evaluating protein positions, and collaboratively analyzing and discussing on networks with the help of recent technological advancements. Here, we present BioNet-XR, a 3D visualization framework, to visualize PPINs in VR and MR environments. BioNet-XR was developed with the Unity3D game engine. Our framework provides state-of-the-art methods and visualization features including teleportation between nodes, general and first-person view to explore the network, subnetwork construction via PageRank, Steiner tree, and all-pair shortest path algorithms for a given set of initial nodes. We used usability tests to gather feedback from both specialists (bioinformaticians) and generalists (multidisciplinary groups), addressing the need for usability evaluations of visualization tools. In the MR version of BioNetXR, users can seamlessly transition to real-world environments and interact with protein interaction networks. BioNet-XR is highly modular and adaptable for visualization of other biological networks, such as metabolic and regulatory networks, and extension with additional network methods. © 2024, CC BY.

关键词： Visualization

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Generation of laminar vortex rings by an impulsive body force

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Physical Review Fluids 2023年第9期8卷 094701-094701页

作者： Rabia Sonmez Robert A. Handler Ryan Kelly David B. Goldstein Saikishan Suryanarayanan Department of Mechanical Engineering George Mason University Fairfax Virginia 22030 USA Center for Simulation and Modeling George Mason University Fairfax Virginia 22030 USA Department of Aerospace Engineering University of Texas Austin Texas 78712 USA Department of Mechanical Engineering University of Akron Akron Ohio 44325 USA

It is shown that laminar vortex rings can be generated by impulsive body forces having particular spatial and temporal characteristics. The method produces vortex rings in a fluid initially at rest, and once generated, the flow field automatically satisfies the boundary conditions and is divergence-free. Numerical simulations and analytical models show that the strength of these rings can be accurately predicted by considering diffusion alone, despite the nonlinear nature of the generation process. A particularly simple model, which approximates the source of vorticity within vertical slabs, is proposed. This model predicts the ring circulation almost as accurately as a model that uses the exact geometry of the source of vorticity. It is found that when the duration of the force is less than a timescale based on the force radius and fluid viscosity, the ring circulation can be predicted accurately using an inviscid model.

关键词： Laminar flows Vortex dynamics

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Electro-magneto-hydrodynamic Eyring-Powell fluid flow through micro-parallel plates with heat transfer and non-Darcian effects

Electro-magneto-hydrodynamic Eyring-Powell fluid flow throug...

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作者： Bhatti, Muhammad Mubashir Doranehgard, Mohammad Hossein Ellahi, Rahmat College of Mathematics and Systems Science Shandong University of Science and Technology Qingdao China Department of Mechanical and Aerospace Engineering Hong Kong University of Science and Technology Clear Water Bay Hong Kong Center for Modeling & Computer Simulation Research Institute King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Department of Mathematics and Statistics International Islamic University Islamabad Pakistan

The Eyring-Powell fluid flow between two micro-parallel plates in the context of electro-magneto-hydrodynamic is the focus of the article. The Lorentz force, which is generated by the interactions of a vertical magnetic field and an externally imposed horizontal electrical field, is presumed to be unilateral and one-dimensional. Using the Darcy-Brinkman-Forchheimer model, the medium of the micro-parallel plates is assumed to be porous. The energy equation evaluates the effect of viscous dissipation and joule heating as well. To solve the nonlinear coupled differential equations, analytical solutions are derived using the multi-step differential transform method. For the velocity and temperature profiles, the impact of all evolving variables is explored and illustrated in graphs and tables. It can be seen from the graphical results that the Darcy parameter, and also the magnetic field, are oppositional to both fluid motion and temperature profile. Additionally, the thermal Grashof number improves the velocity and temperature profiles of the system. On the velocity and temperature profiles, the outcomes for both fluid parameters are nearly identical. © 2022 John Wiley & Sons Ltd.

关键词： Temperature control

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