Tootfinder

This https://arxiv.org/abs/2403.12680 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Plasma motions and compressive wave energetics in the solar corona and solar wind from radio wave scattering observations
Radio signals propagating via the solar corona and solar wind are significantly affected by compressive waves, impacting properties of solar bursts as well as sources viewed through the turbulent solar atmosphere. While static fluctuations scatter radio waves elastically, moving, turbulent or oscillating density irregularities act to broaden the frequency of the scattered waves. Using a new anisotropic density fluctuation model from the kinetic scattering theory for solar radio bursts, we deduc…

This https://arxiv.org/abs/2310.08564 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The geometry of maximal development for the Euler equations
We establish the maximal hyperbolic development of Cauchy data for the multi-dimensional compressible Euler equations. For an open set of compressive and generic $H^7$ initial data, we construct unique $H^7$ solutions to the Euler equations in the maximal spacetime region such that at any point in this spacetime, the solution can be smoothly and uniquely computed by tracing both the fast and slow acoustic characteristic surfaces backward-in-time, until reaching the Cauchy data prescribed along …

Compressive Bayesian non-negative matrix factorization for mutational signatures analysis
Alessandro Zito, Jeffrey W. Miller
https://arxiv.org/abs/2404.10974

Compressive Bayesian non-negative matrix factorization for mutational signatures analysis
Non-negative matrix factorization (NMF) is widely used in many applications for dimensionality reduction. Inferring an appropriate number of factors for NMF is a challenging problem, and several approaches based on information criteria or sparsity-inducing priors have been proposed. However, inference in these models is often complicated and computationally challenging. In this paper, we introduce a novel methodology for overfitted Bayesian NMF models using "compressive hyperpriors" that force …

Giant Strain Response of Charge Modulation and Singularity in a Kagome Superconductor
Chun Lin, Armando Consiglio, Ola Kenji Forslund, Julia Kuspert, M. Michael Denner, Hechang Lei, Alex Louat, Matthew D. Watson, Timur K. Kim, Cephise Cacho, Dina Carbone, Mats Leandersson, Craig Polley, Thiagarajan Balasubramanian, Domenico Di Sante, Ronny Thomale, Zurab Guguchia, Giorgio Sangiovanni, Titus Neupert, Johan Chang

Giant Strain Response of Charge Modulation and Singularity in a Kagome Superconductor
Tunable quantum materials hold great potential for applications. Of special interest are materials in which small lattice strain induces giant electronic responses. The kagome compounds AV3Sb5 (A = K, Rb, Cs) provide a testbed for such singular electronic states. In this study, through angle-resolved photoemission spectroscopy, we provide comprehensive spectroscopic measurements of the giant responses induced by compressive and tensile strains on the charge-density-wave (CDW) order parameter an…

This https://arxiv.org/abs/2402.10449 has been replaced.
initial toot: https://mastoxiv.page/@a…

Light-Hole Spin Confined in Germanium
The selective confinement of light holes (LHs) in tensile strained germanium (Ge) is achieved by introducing Ge$_{1-x}$Sn$_x$/Ge/Ge$_{1-x}$Sn$_x$ heterostructures. By evaluating their electronic structure as a function of Sn content, residual strain, and Ge well thickness., it is shown that above $12\,\text{at.}\%$ Sn and below $0.4\%$ residual compressive strain in the barriers, the tensile strain in Ge becomes sufficiently large to yield a valence band edge with LH-like character, thus formin…

Event-Enhanced Snapshot Compressive Videography at 10K FPS
Bo Zhang, Jinli Suo, Qionghai Dai
https://arxiv.org/abs/2404.07551 https://

Event-Enhanced Snapshot Compressive Videography at 10K FPS
Video snapshot compressive imaging (SCI) encodes the target dynamic scene compactly into a snapshot and reconstructs its high-speed frame sequence afterward, greatly reducing the required data footprint and transmission bandwidth as well as enabling high-speed imaging with a low frame rate intensity camera. In implementation, high-speed dynamics are encoded via temporally varying patterns, and only frames at corresponding temporal intervals can be reconstructed, while the dynamics occurring bet…

This https://arxiv.org/abs/2402.07637 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Compressive Recovery of Signals Defined on Perturbed Graphs
Recovery of signals with elements defined on the nodes of a graph, from compressive measurements is an important problem, which can arise in various domains such as sensor networks, image reconstruction and group testing. In some scenarios, the graph may not be accurately known, and there may exist a few edge additions or deletions relative to a ground truth graph. Such perturbations, even if small in number, significantly affect the Graph Fourier Transform (GFT). This impedes recovery of signa…

Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing
Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
https://arxiv.org/abs/2403.05037

Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing
This paper proposes a high-performance and energy-efficient optical near-sensor accelerator for vision applications, called Lightator. Harnessing the promising efficiency offered by photonic devices, Lightator features innovative compressive acquisition of input frames and fine-grained convolution operations for low-power and versatile image processing at the edge for the first time. This will substantially diminish the energy consumption and latency of conversion, transmission, and processing …

A variationally consistent membrane wrinkling model based on tension-compression decomposition of the strain tensor
Daobo Zhang, Josef Kiendl
https://arxiv.org/abs/2403.13746

A variationally consistent membrane wrinkling model based on tension-compression decomposition of the strain tensor
We propose a novel variationally consistent membrane wrinkling model for analyzing the mechanical responses of wrinkled thin membranes. The elastic strain energy density is split into tensile and compressive terms via a spectral decomposition of the strain tensor. Tensile and compressive parts of the stress and tangent material matrices are then obtained via consistent variation from the respective strain energies. Considering only the positive part of the strain energy in the variational formu…

Optimal control of stochastic cylinder flow using data-driven compressive sensing method
Liuhong Chen, Ju Ming, Max D. Gunzburger
https://arxiv.org/abs/2403.07656

Optimal control of stochastic cylinder flow using data-driven compressive sensing method
A stochastic optimal control problem for incompressible Newtonian channel flow past a circular cylinder is used as a prototype optimal control problem for the stochastic Navier-Stokes equations. The inlet flow and the rotation speed of the cylinder are allowed to have stochastic perturbations. The control acts on the cylinder via adjustment of the rotation speed. Possible objectives of the control include, among others, tracking a desired (given) velocity field or minimizing the kinetic energy,…

This https://arxiv.org/abs/2307.12428 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Decaying turbulence in molecular clouds: how does it affect filament networks and star formation?
The fragmentation of gas to form stars in molecular clouds is intrinsically linked to the turbulence within them. These internal motions are set at the birth of the cloud and may vary with galactic environment and as the cloud evolves. In this paper, we introduce a new suite of 15 high-resolution 3D molecular cloud simulations using the moving mesh code AREPO to investigate the role of different decaying turbulent modes (mixed, compressive and solenoidal) and virial ratios on the evolution of a…

Predicting Confinement Effect of Carbon Fiber Reinforced Polymers on Strength of Concrete using Metaheuristics-based Artificial Neural Networks
Sarmed Wahab, Mohamed Suleiman, Faisal Shabbir, Nasim Shakouri Mahmoudabadi, Sarmad Waqas, Nouman Herl, Afaq Ahmad
https://arxiv.org/abs/2403.13809<…

Predicting Confinement Effect of Carbon Fiber Reinforced Polymers on Strength of Concrete using Metaheuristics-based Artificial Neural Networks
This article deals with the study of predicting the confinement effect of carbon fiber reinforced polymers (CFRPs) on concrete cylinder strength using metaheuristics-based artificial neural networks. A detailed database of 708 CFRP confined concrete cylinders is developed from previously published research with information on 8 parameters including geometrical parameters like the diameter (d) and height (h) of a cylinder, unconfined compressive strength of concrete (fco'), thickness (nt), the e…

Modulation of the Octahedral Structure and Potential Superconductivity of La3Ni2O7 at Ambient Pressure by Compressive Strain
Zihao Huo, Peng Zhang, Aiqin Yang, Zhengtao Liu, Xiangru Tao, Zihan Zhang, Qiwen Jiang, Wenxuan Chen, Defang Duan, Tian Cui
https://arxiv.org/abs/2404.11001

Modulation of the Octahedral Structure and Potential Superconductivity of La3Ni2O7 at Ambient Pressure by Compressive Strain
Superconductivity at Tc = 80 K has recently been reported above 14 GPa in La3Ni2O7, which thus introduces a new family of high-temperature superconductors. Using a first-principles calculation with Coulomb repulsion, we unveil a surprising new route to obtain superconductivity in La3Ni2O7 at ambient pressure by introducing compressive strain along the [001] direction. The shape of the NiO6 octahedra affect the Ni-3dz2 density of states (DOS) at Fermi level, and it can be modulated by applying c…

Compressive Recovery of Signals Defined on Perturbed Graphs
Sabyasachi Ghosh, Ajit Rajwade
https://arxiv.org/abs/2402.07637 https://a…

Compressive Recovery of Signals Defined on Perturbed Graphs
Recovery of signals with elements defined on the nodes of a graph, from compressive measurements is an important problem, which can arise in various domains such as sensor networks, image reconstruction and group testing. In some scenarios, the graph may not be accurately known, and there may exist a few edge additions or deletions relative to a ground truth graph. Such perturbations, even if small in number, significantly affect the Graph Fourier Transform (GFT). This impedes recovery of signa…

Compressive-Sensing-Enhanced First-Principles Calculation of Photoluminescence Spectra in Color Centers: A Comparison between Theory and Experiment for the G Center in Silicon
Jiongzhi Zheng, Lukasz Komza, Yihuang Xiong, Natalya Sheremetyeva, Changpeng Lin, Sin\'ead M. Griffin, Alp Sipahigil, Geoffroy Hautier
https://arxiv.o…

Compressive-Sensing-Enhanced First-Principles Calculation of Photoluminescence Spectra in Color Centers: A Comparison between Theory and Experiment for the G Center in Silicon
Photoluminescence (PL) spectra are a versatile tool for exploring the electronic and optical properties of quantum defect systems. In this work, we investigate the PL spectra of the G center in silicon by combining first-principles computations with a machine-learned compressive-sensing technique and experiment. We show that the compressive-sensing technique provides a speed up of approximately 20 times compared with the finite-displacement method with similar numerical accuracy. We compare the…

Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing
Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
https://arxiv.org/abs/2403.05037

Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing
This paper proposes a high-performance and energy-efficient optical near-sensor accelerator for vision applications, called Lightator. Harnessing the promising efficiency offered by photonic devices, Lightator features innovative compressive acquisition of input frames and fine-grained convolution operations for low-power and versatile image processing at the edge for the first time. This will substantially diminish the energy consumption and latency of conversion, transmission, and processing …

Optimal control of stochastic cylinder flow using data-driven compressive sensing method
Liuhong Chen, Ju Ming, Max D. Gunzburger
https://arxiv.org/abs/2403.07656

Optimal control of stochastic cylinder flow using data-driven compressive sensing method
A stochastic optimal control problem for incompressible Newtonian channel flow past a circular cylinder is used as a prototype optimal control problem for the stochastic Navier-Stokes equations. The inlet flow and the rotation speed of the cylinder are allowed to have stochastic perturbations. The control acts on the cylinder via adjustment of the rotation speed. Possible objectives of the control include, among others, tracking a desired (given) velocity field or minimizing the kinetic energy,…

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, Peidong Liu
https://arxiv.org/abs/2403.20018

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
In this paper, we explore the potential of Snapshot Compressive Imaging (SCI) technique for recovering the underlying 3D scene representation from a single temporal compressed image. SCI is a cost-effective method that enables the recording of high-dimensional data, such as hyperspectral or temporal information, into a single image using low-cost 2D imaging sensors. To achieve this, a series of specially designed 2D masks are usually employed, which not only reduces storage requirements but als…

Plasma motions in the solar corona and solar wind to 1 au, as inferred from radio wave scattering observations
Francesco Azzollini, A. Gordon Emslie, Daniel L. Clarkson, Nicolina Chrysaphi, Eduard P. Kontar
https://arxiv.org/abs/2403.12680

Plasma motions in the solar corona and solar wind to 1 au, as inferred from radio wave scattering observations
Radio signals propagating via the solar corona and solar wind are significantly affected by compressive waves, impacting solar burst properties as well as sources viewed through the turbulent atmosphere. While static fluctuations scatter radio waves elastically, moving, turbulent or oscillating density irregularities act to broaden the frequency of the scattered waves. Using a new anisotropic density fluctuation model based on solar radio bursts, we deduce the plasma velocities required to expl…

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, Peidong Liu
https://arxiv.org/abs/2403.20018

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
In this paper, we explore the potential of Snapshot Compressive Imaging (SCI) technique for recovering the underlying 3D scene representation from a single temporal compressed image. SCI is a cost-effective method that enables the recording of high-dimensional data, such as hyperspectral or temporal information, into a single image using low-cost 2D imaging sensors. To achieve this, a series of specially designed 2D masks are usually employed, which not only reduces storage requirements but als…

High-temperature stability of ambient-cured one-part alkali-activated materials incorporating graphene for thermal energy storage
Nghia Tran, Tuan Nguyen, Jay Black, Tuan Ngo
https://arxiv.org/abs/2402.13543

High-temperature stability of ambient-cured one-part alkali-activated materials incorporating graphene for thermal energy storage
In this research, the ambient cured one part alkali activated material (AAM) containing graphene nanoplatelets (GNPs), fly ash, slag and silica fume has been investigated after high temperature exposure to 200 to 800oC. Their compressive strength, thermal properties, microstructure, pore structure were characterised through visual observation, isothermal calorimetry, TGA, XRD, SEM-EDS and X-ray CT. The research findings indicated high strength characteristics of the developed AAM (80 MPa) at am…

Light-Hole Spin Confined in Germanium
Patrick Del Vecchio, Oussama Moutanabbir
https://arxiv.org/abs/2402.10449 https://arxiv.org/pdf…

Light-Hole Spin Confined in Germanium
The selective confinement of light holes (LHs) in tensile strained germanium (Ge) is achieved by introducing Ge$_{1-x}$Sn$_x$/Ge/Ge$_{1-x}$Sn$_x$ heterostructures. By evaluating their electronic structure as a function of Sn content, residual strain, and Ge well thickness., it is shown that above $12\,\text{at.}\%$ Sn and below $0.4\%$ residual compressive strain in the barriers, the tensile strain in Ge becomes sufficiently large to yield a valence band edge with LH-like character, thus formin…

Effects of prestress in the coating of an elastic disk
Matteo Gaibotti, Sofia G. Mogilevskaya, Andrea Piccolroaz, Davide Bigoni
https://arxiv.org/abs/2404.06038

Effects of prestress in the coating of an elastic disk
An elastic disk is coated with an elastic rod, uniformly prestressed with a tensile or compressive axial force. The prestress state is assumed to be induced by three different models of external radial load or by 'shrink-fit' forcing the coating onto the disk. The prestressed coating/disk system, when loaded with an additional and arbitrary incremental external load, experiences incremental displacement, strain, and stress, which are solved via complex potentials. The analysis incorporates mode…

Validity of using Els\"asser variables to study the interaction of compressible solar wind fluctuations with a coronal mass ejection
Chaitanya Prasad Sishtla, Jens Pomoell, Norbert Magyar, Emilia Kilpua, Simon Good
https://arxiv.org/abs/2402.09250

Validity of using Elsässer variables to study the interaction of compressible solar wind fluctuations with a coronal mass ejection
Alfvénic fluctuations, as modelled by the non-linear interactions of Alfvén waves of various scales, are seen to dominate solar wind turbulence. However, there is also a non-negligible component of non-Alfvénic fluctuations. The Elsässer formalism, which is central to the study of Alfvénic turbulence due to its ability to differentiate between parallel and anti-parallel Alfvén waves, cannot strictly separate wavemodes in the presence of compressive magnetoacoustic waves. In this study, we…

Benchmarking reconstructive spectrometer with multi-resonant cavities
Chunhui Yao, Kangning Xu, Tianhua Lin, Jie Ma, Chumeng Yao, Peng Bao, Zhitian Shi, Richard Penty, Qixiang Cheng
https://arxiv.org/abs/2403.00496

Benchmarking reconstructive spectrometer with multi-resonant cavities
Recent years have seen the rapid development of miniaturized reconstructive spectrometers (RSs), yet they still confront a range of technical challenges, such as bandwidth/resolution ratio, sensing speed, and/or power efficiency. Reported RS designs often suffer from insufficient decorrelation between sampling channels, which results in limited compressive sampling efficiency, in essence, due to inadequate engineering of sampling responses. This in turn leads to poor spectral-pixel-to-channel r…

Strain-dependent Insulating State and Kondo Effect in Epitaxial SrIrO$_{3}$ Films
Gaurab Rimal, Tanzila Tasnim, Gabriel Calderon Ortiz, George E. Sterbinsky, Jinwoo Hwang, Ryan B. Comes
https://arxiv.org/abs/2404.10909

Strain-dependent Insulating State and Kondo Effect in Epitaxial SrIrO$_{3}$ Films
The large spin-orbit coupling in iridium oxides plays a significant role in driving novel physical behaviors, including emergent phenomena in the films and heterostructures of perovskite and Ruddlesden-Popper iridates. In this work, we study the role of epitaxial strain on the electronic behavior of thin SrIrO$_3$ films. We find that compressive epitaxial strain leads to metallic transport behavior, but a slight tensile strain shows gapped behavior. Temperature-dependent resistivity measurement…

Characterization of the Early Dynamics of Solar Coronal Bright Fronts
Mohamed Nedal, Kamen Kozarev, Rositsa Miteva, Oleg Stepanyuk, Momchil Dechev
https://arxiv.org/abs/2404.03396

Characterization of the Early Dynamics of Solar Coronal Bright Fronts
We present a comprehensive characterization of 26 CME-driven compressive waves known as Coronal Bright Fronts (CBFs) observed in the low solar corona between 2010 and 2017. These CBFs have been found to be associated with SEP events near Earth, indicating their importance in understanding space weather phenomena. The aim of this study is to analyze and describe the early dynamics of CBFs using a physics-based heliospheric SEP forecasting system known as the SPREAdFAST framework. This framework …

Effects of prestress in the coating of an elastic disk
Matteo Gaibotti, Sofia G. Mogilevskaya, Andrea Piccolroaz, Davide Bigoni
https://arxiv.org/abs/2404.06038

Effects of prestress in the coating of an elastic disk
An elastic disk is coated with an elastic rod, uniformly prestressed with a tensile or compressive axial force. The prestress state is assumed to be induced by three different models of external radial load or by 'shrink-fit' forcing the coating onto the disk. The prestressed coating/disk system, when loaded with an additional and arbitrary incremental external load, experiences incremental displacement, strain, and stress, which are solved via complex potentials. The analysis incorporates mode…

Atomistic investigation of deformation and fracture of individual structural components of metal matrix composites
Marcin Ma\'zdziarz, Szymon Nosewicz
https://arxiv.org/abs/2403.05371

Atomistic investigation of deformation and fracture of individual structural components of metal matrix composites
This paper focuses on the development of the atomistic framework for determining the lower scale mechanical parameters of single components of a metal matrix composite for final application to a micromechanical damage model. Here, the deformation and failure behavior of NiAl-Al$_2$O$_3$ interfaces and their components, metal and ceramic, are analyzed in depth using molecular statics calculations. A number of atomistic simulations of strength tests, uniaxial tensile, uniaxial compressive and sim…

This https://arxiv.org/abs/2402.06797 has been replaced.
initial toot: https://mastoxiv.page/@a…

The Influence of Chemical Strains on the Electrocaloric Response, Polarization Morphology, Tetragonality and Negative Capacitance Effect of Ferroelectric Core-Shell Nanorods and Nanowires
Using Landau-Ginzburg-Devonshire (LGD) approach we proposed the analytical description of the chemical strains influence on the spontaneous polarization and electrocaloric response in ferroelectric core-shell nanorods. We postulate that the nanorod core presents a defect-free single-crystalline ferroelectric material, and the elastic defects are accumulated in the ultra-thin shell, where they can induce tensile or compressive chemical strains. The finite element modeling (FEM) based on the LGD …