Tootfinder

Probabilistic and nonlinear compressive sensing
Lukas Silvester Barth, Paulo von Petersenn
https://arxiv.org/abs/2509.15060 https://arxiv.org/pdf/2509.1506…

Probabilistic and nonlinear compressive sensing
We present a smooth probabilistic reformulation of $\ell_0$ regularized regression that does not require Monte Carlo sampling and allows for the computation of exact gradients, facilitating rapid convergence to local optima of the best subset selection problem. The method drastically improves convergence speed compared to similar Monte Carlo based approaches. Furthermore, we empirically demonstrate that it outperforms compressive sensing algorithms such as IHT and (Relaxed-) Lasso across a wide…

A novel geometric predictive algorithm for assessing Compressive Elastic Modulus in MEX additive processes, based on part nonlinearities and layers stiffness,validated with PETG and PLA materials
J. M. Mercado Colmenero, C. Martin Donate
https://arxiv.org/abs/2508.13164

A novel geometric predictive algorithm for assessing Compressive Elastic Modulus in MEX additive processes, based on part nonlinearities and layers stiffness,validated with PETG and PLA materials
The paper presents an innovative methodology based on the use of a new predictive algorithm created by the researchers capable of obtaining the elastic modulus of a plastic material manufactured with MEX and its mechanical behaviour in the elastic zone under compressive loads. The predictive algorithm only needs as input the compressive elastic modulus of the isotropic plastic material filament and the manufacturing parameters of the MEX process. The smart developed algorithm calculates the sti…

Disentangling coincident cell events using deep transfer learning and compressive sensing
Moritz Leuthner, Rafael Vorl\"ander, Oliver Hayden
https://arxiv.org/abs/2507.13176 …

Disentangling coincident cell events using deep transfer learning and compressive sensing
Accurate single-cell analysis is critical for diagnostics, immunomonitoring, and cell therapy, but coincident events - where multiple cells overlap in a sensing zone - can severely compromise signal fidelity. We present a hybrid framework combining a fully convolutional neural network (FCN) with compressive sensing (CS) to disentangle such overlapping events in one-dimensional sensor data. The FCN, trained on bead-derived datasets, accurately estimates coincident event counts and generalizes to…

Progressive Flow-inspired Unfolding for Spectral Compressive Imaging
Xiaodong Wang, Ping Wang, Zijun He, Mengjie Qin, Xin Yuan
https://arxiv.org/abs/2509.12079 https://

Progressive Flow-inspired Unfolding for Spectral Compressive Imaging
Coded aperture snapshot spectral imaging (CASSI) retrieves a 3D hyperspectral image (HSI) from a single 2D compressed measurement, which is a highly challenging reconstruction task. Recent deep unfolding networks (DUNs), empowered by explicit data-fidelity updates and implicit deep denoisers, have achieved the state of the art in CASSI reconstruction. However, existing unfolding approaches suffer from uncontrollable reconstruction trajectories, leading to abrupt quality jumps and non-gradual re…

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Compressive Meta-Learning
Daniel Mas Montserrat, David Bonet, Maria Perera, Xavier Gir\'o-i-Nieto, Alexander G. Ioannidis

Compressive Spectral Imaging in View of Earth Observation Applications
Cl\'ement Thomas, Laurent Jacques, Marc Georges
https://arxiv.org/abs/2508.10569 https://

Compressive Spectral Imaging in View of Earth Observation Applications
Earth observation from space is an important scientific and industrial activity that has applications in many sectors. The instruments employed are often large, complex, and expensive. In addition, they generate large amounts of data, which is challenging for storage and transfer purposes. Compressive spectral imaging would be a cheaper, more efficient, and well-adapted technique to perform Earth observation. An interesting architecture is compressive spectral imaging with diffractive lenses, w…

PhysioEdge: Multimodal Compressive Sensing Platform for Wearable Health Monitoring
Rens Baeyens, Dennis Laurijssen, Jan Steckel, Walter Daems
https://arxiv.org/abs/2507.07645

PhysioEdge: Multimodal Compressive Sensing Platform for Wearable Health Monitoring
The integration of compressive sensing with real-time embedded systems opens new possibilities for efficient, low-power biomedical signal acquisition. This paper presents a custom hardware platform based on the RP2350 micro-controller, tailored for synchronized multi-modal biomedical monitoring. The system is capable of capturing cardiopulmonary sounds, along with biopotential signals such as phonocardiography (PCG), electrocardiography (ECG) and electromyography (EMG), photoplethysmography (PP…

Optimally Tensile Strained La3Ni2O7 Films as Candidate High-Temperature Superconductors on Designer Ba1-xSrxO (001) and SrO-SrTiO3 Substrates
Liangliang Liu, Junhao Peng, Zhuangzhuang Qiao, Shuo Cai, Huafeng Dong, Yu Jia, Zhenyu Zhang
https://arxiv.org/abs/2509.13820

Optimally Tensile Strained La3Ni2O7 Films as Candidate High-Temperature Superconductors on Designer Ba1-xSrxO (001) and SrO-SrTiO3 Substrates
Recent experiments have observed superconductivity up to 48 K in La3Ni2O7-derived films under compressive strain imposed by the SrLaAlO4 substrate, while such films on the SrTiO3 substrate with tensile strain have failed to reach the superconducting state. Here we propose to broadly expand the choices of materials platforms to achieve high-Tc superconducting La3Ni2O7 films by proposing designer substrates of Ba1-xSrxO (x = 0 - 1) that allow to continuously tune the strain in the films from bein…

Sparse Transformer for Ultra-sparse Sampled Video Compressive Sensing
Miao Cao, Siming Zheng, Lishun Wang, Ziyang Chen, David Brady, Xin Yuan
https://arxiv.org/abs/2509.08228 ht…

Sparse Transformer for Ultra-sparse Sampled Video Compressive Sensing
Digital cameras consume ~0.1 microjoule per pixel to capture and encode video, resulting in a power usage of ~20W for a 4K sensor operating at 30 fps. Imagining gigapixel cameras operating at 100-1000 fps, the current processing model is unsustainable. To address this, physical layer compressive measurement has been proposed to reduce power consumption per pixel by 10-100X. Video Snapshot Compressive Imaging (SCI) introduces high frequency modulation in the optical sensor layer to increase effe…

A Multimodal Data Fusion Generative Adversarial Network for Real Time Underwater Sound Speed Field Construction
Wei Huang, Yuqiang Huang, Yanan Wu, Tianhe Xu, Junting Wang, Hao Zhang
https://arxiv.org/abs/2507.11812

A Multimodal Data Fusion Generative Adversarial Network for Real Time Underwater Sound Speed Field Construction
Sound speed profiles (SSPs) are essential parameters underwater that affects the propagation mode of underwater signals and has a critical impact on the energy efficiency of underwater acoustic communication and accuracy of underwater acoustic positioning. Traditionally, SSPs can be obtained by matching field processing (MFP), compressive sensing (CS), and deep learning (DL) methods. However, existing methods mainly rely on on-site underwater sonar observation data, which put forward strict req…

Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning
George D. Pasparakis, Ioannis A. Kougioumtzoglou, Michael D. Shields
https://arxiv.org/abs/2507.11385

Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning
A methodology is developed, based on nonparametric Bayesian dictionary learning, for joint space-time wind field data extrapolation and estimation of related statistics by relying on limited/incomplete measurements. Specifically, utilizing sparse/incomplete measured data, a time-dependent optimization problem is formulated for determining the expansion coefficients of an associated low-dimensional representation of the stochastic wind field. Compared to an alternative, standard, compressive sam…

Magneto-elastic softening in cold-sprayed polycrystalline nickel studied by resonant ultrasound spectroscopy
Michaela Janovsk\'a (Institute of Thermomechanics, Czech Acad Sci, Prague, Czechia), Petr Sedl\'ak (Institute of Thermomechanics, Czech Acad Sci, Prague, Czechia), Martin \v{S}ev\v{c}\'ik (Institute of Thermomechanics, Czech Acad Sci, Prague, Czechia), Jan Cizek (Institute of Plasma Physics, Czech Acad Sci, Prague, Czechia, Faculty of Mechanical Engineering, Czech Te…

Magneto-elastic softening in cold-sprayed polycrystalline nickel studied by resonant ultrasound spectroscopy
Cold-sprayed metallic deposits are additively manufactured materials containing high levels of compressive residual stress. Here we show that the presence and intensity of this stress can be analyzed using laser-ultrasonics, provided that the sprayed material is ferromagnetic and magnetostrictive, as in the case of pure nickel. Contactless resonant ultrasound spectroscopy is used to monitor the evolution of shear modulus and internal friction parameter of two polycrystalline Ni deposits with te…

CLiFT: Compressive Light-Field Tokens for Compute-Efficient and Adaptive Neural Rendering
Zhengqing Wang, Yuefan Wu, Jiacheng Chen, Fuyang Zhang, Yasutaka Furukawa
https://arxiv.org/abs/2507.08776

CLiFT: Compressive Light-Field Tokens for Compute-Efficient and Adaptive Neural Rendering
This paper proposes a neural rendering approach that represents a scene as "compressed light-field tokens (CLiFTs)", retaining rich appearance and geometric information of a scene. CLiFT enables compute-efficient rendering by compressed tokens, while being capable of changing the number of tokens to represent a scene or render a novel view with one trained network. Concretely, given a set of images, multi-view encoder tokenizes the images with the camera poses. Latent-space K-means selects a re…

Robust Super-Resolution Compressive Sensing: A Two-timescale Alternating MAP Approach
Yufan Zhou, Jingyi Li, Wenkang Xu, An Liu
https://arxiv.org/abs/2508.07013 https://

Robust Super-Resolution Compressive Sensing: A Two-timescale Alternating MAP Approach
The problem of super-resolution compressive sensing (SR-CS) is crucial for various wireless sensing and communication applications. Existing methods often suffer from limited resolution capabilities and sensitivity to hyper-parameters, hindering their ability to accurately recover sparse signals when the grid parameters do not lie precisely on a fixed grid and are close to each other. To overcome these limitations, this paper introduces a novel robust super-resolution compressive sensing algori…

Stabilizing and Tuning Superconductivity in La$_3$Ni$_2$O$_{7-\delta}$ Films: Oxygen Recycling Protocol Reveals Hole-Doping Analogue
Lifen Xiang, Siyi Lei, Xiaolin Ren, Ziao Han, Zijian Xu, X. J. Zhou, Zhihai Zhu
https://arxiv.org/abs/2508.11581

Stabilizing and Tuning Superconductivity in La$_3$Ni$_2$O$_{7-δ}$ Films: Oxygen Recycling Protocol Reveals Hole-Doping Analogue
The recent achievement of superconductivity in La$_3$Ni$_2$O$_{7-δ}$ with transition temperatures exceeding 40 K in thin films under compressive strain and 80 K in bulk crystals under high pressure opens new avenues for research on high-temperature superconductivity. The realization of superconductivity in thin films requires delicate control of growth conditions, which presents significant challenges in the synthesis process. Furthermore, the stability of superconducting La$_3$Ni$_2$O$_{7-δ}…

An Improved Fit to the Density Distribution in Supersonic Isothermal Turbulence
Evan Scannapieco, Marcus Br\"uggen, Philipp Grete, Liubin Pan
https://arxiv.org/abs/2509.09811

An Improved Fit to the Density Distribution in Supersonic Isothermal Turbulence
The density distribution of supersonic isothermal turbulence plays a critical role in many astrophysical systems. It is commonly approximated by a lognormal distribution with a variance of $σ_{s,V}^2 \approx \ln(1 + b^2 M_{\rm V}^2),$ where $s \equiv \ln ρ/ρ_0,$ $M_{\rm V}$ is the rms volume-weighted Mach number, and $b$ is a parameter that depends on the driving mechanism, which can be solenoidal (divergence-free), compressive (curl-free), or a mix of the two. However, this neglects the cor…

Hyperspectral Dual-Comb Compressive Imaging for Minimally-Invasive Video-Rate Endomicroscopy
Myoung-Gyun Suh (Howard), David Dang (Howard), Maodong Gao (Howard), Yucheng Jin (Howard), Byoung Jun Park (Howard), Beyonce Hu (Howard), Wilton J. M. Kort-Kamp (Howard), Ho Wai (Howard), Lee
https://arxiv.org/abs/2507.04157

Hyperspectral Dual-Comb Compressive Imaging for Minimally-Invasive Video-Rate Endomicroscopy
Endoscopic imaging is essential for real-time visualization of internal organs, yet conventional systems remain bulky, complex, and expensive due to their reliance on large, multi-element optical components. This limits their accessibility to delicate or constrained anatomical regions. Achieving real-time, high-resolution endomicroscopy using compact, low-cost hardware at the hundred-micron scale remains an unsolved challenge. Optical fibers offer a promising route toward miniaturization by pro…

Role of correlations in Ruddlesden-Popper bilayer nickelates under compressive strain
Logan Bleys, Nicholas Corkill, Yi-Feng Zhao, Gheorghe Lucian Pascut, Harrison LaBollita, Antia S. Botana, Khandker F. Quader
https://arxiv.org/abs/2509.00940

Role of correlations in Ruddlesden-Popper bilayer nickelates under compressive strain
The recent discovery of superconductivity in thin films of the bilayer Ruddlesden-Popper (RP) nickelate La$_3$Ni$_2$O$_7$ (La327) under compressive strain has generated enormous interest, opening up further opportunities to stabilize superconductivity in this class of materials at ambient pressure. To better understand the many-body normal state from which superconductivity arises, it is important to ascertain the nature and role of correlations in its electronic structure. To provide insights …

Replaced article(s) found for astro-ph.SR. https://arxiv.org/list/astro-ph.SR/new
[1/1]:
- Magnetic, Kinetic, and Transition Regime: Spatially-Segregated Structure of Compressive MHD Turbu...
Guang-Xing Li, Mengke Zhao

Broadband Near-Infrared Compressive Spectral Imaging System with Reflective Structure
Yutong Li, Zhenming Yu, Liming Cheng, Jiayu Di, Liang Lin, Jingyue Ma, Tongshuo Zhang, Yue Zhou, Haiying Zhao, Kun Xu
https://arxiv.org/abs/2508.14573

Broadband Near-Infrared Compressive Spectral Imaging System with Reflective Structure
Near-infrared (NIR) hyperspectral imaging has become a critical tool in modern analytical science. However, conventional NIR hyperspectral imaging systems face challenges including high cost, bulky instrumentation, and inefficient data collection. In this work, we demonstrate a broadband NIR compressive spectral imaging system that is capable of capturing hyperspectral data covering a broad spectral bandwidth ranging from 700 to 1600 nm. By segmenting wavelengths and designing specialized optic…

Computational investigation of crack-tip fields in a compressed nonlinear strain-limiting material
Dambaru Bhatta, Saugata Ghosh, S. M. Mallikarjunaiah
https://arxiv.org/abs/2508.07175

Computational investigation of crack-tip fields in a compressed nonlinear strain-limiting material
A finite element framework is presented for the analysis of crack-tip phenomena in an elastic material containing a single edge crack under compressive loading. The mechanical response of the material is modeled by a nonlinear constitutive relationship that algebraically relates stress to linearized strain. This approach serves to mitigate non-physical strain singularities and ensures that the crack-tip strains don't grow, unlike singular stresses. A significant advancement is thus achieved in …

Using numerical-experimental analysis to evaluate rPET mechanical behavior under compressive stresses and FFF additive manufacturing for new sustainable designs
J. Mercado Colmenero, M. LaRubia, E. Mata Garcia, M. Rodriguez Santiago, C. Martin Donate
https://arxiv.org/abs/2508.02728

Using numerical-experimental analysis to evaluate rPET mechanical behavior under compressive stresses and FFF additive manufacturing for new sustainable designs
The purpose of this study is to investigate the numerical-experimental mechanical behavior modeling of the recycled polymer, that is, recyclable polyethylene terephthalate (rPET), manufactured by a deposition FFF process under compressive stresses for new sustainable designs. In all, 42 test specimens were manufactured and analyzed according to the ASTM D695-15 standards. Eight numerical analyzes were performed on a real design manufactured with rPET using Young's compression modulus from the e…

Plug-and-play Diffusion Models for Image Compressive Sensing with Data Consistency Projection
Xiaodong Wang, Ping Wang, Zhangyuan Li, Xin Yuan
https://arxiv.org/abs/2509.09365 h…

Plug-and-play Diffusion Models for Image Compressive Sensing with Data Consistency Projection
We explore the connection between Plug-and-Play (PnP) methods and Denoising Diffusion Implicit Models (DDIM) for solving ill-posed inverse problems, with a focus on single-pixel imaging. We begin by identifying key distinctions between PnP and diffusion models-particularly in their denoising mechanisms and sampling procedures. By decoupling the diffusion process into three interpretable stages: denoising, data consistency enforcement, and sampling, we provide a unified framework that integrates…

Exact and efficient basis pursuit denoising via differential inclusions and a selection principle
Gabriel P. Langlois, J\'er\^ome Darbon
https://arxiv.org/abs/2507.05562

Exact and efficient basis pursuit denoising via differential inclusions and a selection principle
Basis pursuit denoising (BPDN) is a cornerstone of compressive sensing, statistics and machine learning. While various algorithms for BPDN have been proposed, they invariably suffer from drawbacks and must either favor efficiency at the expense of accuracy or vice versa. As such, state-of-the-art algorithms remain ineffective for high-dimensional applications that require accurate solutions within a reasonable amount of computational time. In this work, we address this issue and propose an exac…

Enhanced Biaxial Compressive Strain Tuning of 2D semiconductors via Hot Dry Transfer on Polymer Substrates
Alvaro Cortes-Flores, Eudomar Henr\'iquez-Guerra, Lisa Almonte, Hao Li, Andres Castellanos-Gomez, M. Reyes Calvo
https://arxiv.org/abs/2507.22806

Enhanced Biaxial Compressive Strain Tuning of 2D semiconductors via Hot Dry Transfer on Polymer Substrates
Strain engineering is an effective tool for tailoring the properties of two-dimensional (2D) materials, especially for tuning quantum phenomena. Among the limited methods available for strain engineering under cryogenic conditions, thermal mismatch with polymeric substrates provides a simple and affordable strategy to induce biaxial compressive strain upon cooling. In this work, we demonstrate the transfer of unprecedentedly large levels of uniform biaxial compressive strain to single-layer WS$…

Mathematical formulation of mode-to-mode energy transfers and energy fluxes in compressible turbulence
Dhananjay Singh, Harshit Tiwari, Lekha Sharma, Mahendra K. Verma
https://arxiv.org/abs/2508.04300 …

Mathematical formulation of mode-to-mode energy transfers and energy fluxes in compressible turbulence
Understanding compressible turbulence is critical for modeling atmospheric, astrophysical, and engineering flows. However, compressible turbulence poses a more significant challenge than incompressible turbulence. We present a novel mathematical framework to compute \textit{mode-to-mode energy transfer rates} and energy fluxes for compressible flows. The formalism captures detailed energy conservation within triads and allows decomposition of transfers into rotational, compressive, and mixed co…

Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new
[1/1]:
- Magnetic, Kinetic, and Transition Regime: Spatially-Segregated Structure of Compressive MHD Turbu...
Guang-Xing Li, Mengke Zhao

Segmentation and Tracking of Eruptive Solar Phenomena with Convolutional Neural Networks
Oleg Stepanyuk, Kamen Kozarev
https://arxiv.org/abs/2509.05623 https://

Segmentation and Tracking of Eruptive Solar Phenomena with Convolutional Neural Networks
Solar eruptive events are complex phenomena, which most often include coronal mass ejections (CME), CME-driven compressive and shock waves, flares, and filament eruptions. CMEs are large eruptions of magnetized plasma from the Sun's outer atmosphere or corona, that propagate outward into the interplanetary space. Over the last several decades a large amount of remote solar eruption observational data has become available from ground-based and space-borne instruments. This has recently required …

Extracting Contact Forces in Cohesive Granular Ensembles
Abrar Naseer, Karen E. Daniels, Tejas G. Murthy
https://arxiv.org/abs/2507.00517 https://

Extracting Contact Forces in Cohesive Granular Ensembles
Interparticle cohesion is prevalent in stored powders, geological formations, and infrastructure engineering, yet a comprehensive understanding of the effects of its micro-mechanics on bulk properties has not been established experimentally. One challenge has been that while photoelasticy has been widely and successfully used to measure the vector contact forces within dry granular systems, where the particle-particle interactions are solely frictional and compressive in nature, it has seen lit…

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, $MAM^*$!
Edem Boahen, Simone Brugiapaglia, Hung-Hsu Chou, Mark Iwen, Felix Krahmer
https://arxiv.org/abs/2507.17036

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, $MAM^*$!
Motivated by applications such as sparse PCA, in this paper we present provably-accurate one-pass algorithms for the sparse approximation of the top eigenvectors of extremely massive matrices based on a single compact linear sketch. The resulting compressive-sensing-based approaches can approximate the leading eigenvectors of huge approximately low-rank matrices that are too large to store in memory based on a single pass over its entries while utilizing a total memory footprint on the order of…

A Cryogenic Uniaxial Strain Cell for Elastoresistance Measurements
Eckelt Franz, Cavallaro Isidoro, Wagner Ralph, Haghighirad Amir-Abbas, Wolf Thomas, Wilmers Jana, Bargmann Swantje, Hess Christian
https://arxiv.org/abs/2507.08428

A Cryogenic Uniaxial Strain Cell for Elastoresistance Measurements
We present the design, implementation, and validation of a cryo-compatible strain cell for elastoresistance measurements in quantum materials. The cell is actuated by three large-format piezoelectric stacks and enables both compressive and tensile strain up to approximately $\pm5\%$. The relative displacement of the sample holders is measured in situ using a high-resolution capacitive displacement sensor, ensuring precise strain control throughout measurement. To operate the strain cell over a …

High-resolution single-pixel imaging in real time with iterative or deep learning-based reconstruction enhancement
Anna Pastuszczak, Rafa{\l} Stojek, Piotr Wr\'obel, Magdalena Cwojdzi\'nska, Kacper Sobczak, Rafa{\l} Koty\'nski
https://arxiv.org/abs/2509.01497

High-resolution single-pixel imaging in real time with iterative or deep learning-based reconstruction enhancement
We introduce a compressive single-pixel imaging (SPI) framework for high-resolution image capture in fractions of a second. This framework combines a dedicated sampling strategy with a tailored reconstruction method to enable high-quality imaging of spatially sparse scenes at the native 1024x768 resolution of a digital micromirror device (DMD). The reconstruction process consists of two phases: first, the measured data is processed using the generalized inverse of the measurement matrix for qui…

Unbiased higher-order frictional contact using midplane and patch based segment-to-segment penalty method
Indrajeet Sahu, Nik Petrinic
https://arxiv.org/abs/2506.21767

Unbiased higher-order frictional contact using midplane and patch based segment-to-segment penalty method
A highly accurate, single-pass, unbiased frictional contact algorithm for higher-order elements based on the concept of midplane is presented. Higher-order elements offer a lucrative choice for contact problems as they can better represent the curvature of original geometries compared to the first-order elements. Compressive and frictional contact constraints are applied over the contact pairs of sub-segments obtained by the subdivision of higher-order segments. The normal traction depends upon…

Large-scale compressive microscopy via diffractive multiplexing across a sensor array
Kevin C. Zhou, Chaoying Gu, Muneki Ikeda, Tina M. Hayward, Nicholas Antipa, Rajesh Menon, Roarke Horstmeyer, Saul Kato, Laura Waller
https://arxiv.org/abs/2507.14437

Large-scale compressive microscopy via diffractive multiplexing across a sensor array
Microscopes face a trade-off between spatial resolution, field-of-view, and frame rate -- improving one of these properties typically requires sacrificing the others, due to the limited spatiotemporal throughput of the sensor. To overcome this, we propose a new microscope that achieves snapshot gigapixel-scale imaging with a sensor array and a diffractive optical element (DOE). We improve the spatiotemporal throughput in two ways. First, we capture data with an array of 48 sensors resulting in …

Layer-dependent Charge Transfer and inter-layer coupling in WSe2/Graphene Heterostructures
Lan Huang, Laric Bobzien, \'Angel Labordet \'Alvarez, Daniel E. Cintron Figueroa, Li-Syuan Lu, Chengye Dong, Joshua A. Robinson, Bruno Schuler, Mirjana Dimitrievska
https://arxiv.org/abs/2509.08340

Layer-dependent Charge Transfer and inter-layer coupling in WSe2/Graphene Heterostructures
Understanding interfacial interactions in two-dimensional (2D) heterostructures is essential for advancing optoelectronic and quantum technologies. We investigate metal-organic chemical vapor deposition (MOCVD)-grown WSe$_2$ films (one to five layers) on graphene/SiC, directly compared to exfoliated WSe$_2$ on SiO$_2$, using Raman and photoluminescence (PL) spectroscopy complemented by atomic force microscopy (AFM). Raman measurements reveal compressive strain and interfacial charge transfer in…

Compressive Near-Field Wideband Channel Estimation for THz Extremely Large-scale MIMO Systems
Jionghui Wang, Hongwei Wang, Jun Fang, Lingxiang Li, Zhi Chen
https://arxiv.org/abs/2507.22727

Compressive Near-Field Wideband Channel Estimation for THz Extremely Large-scale MIMO Systems
We consider the channel acquisition problem for a wideband terahertz (THz) communication system, where an extremely large-scale array is deployed to mitigate severe path attenuation. In channel modeling, we account for both the near-field spherical wavefront and the wideband beam-splitting phenomena, resulting in a wideband near-field channel. We propose a frequency-independent orthogonal dictionary that generalizes the standard discrete Fourier transform (DFT) matrix by introducing an addition…

R-Stitch: Dynamic Trajectory Stitching for Efficient Reasoning
Zhuokun Chen, Zeren Chen, Jiahao He, Mingkui Tan, Jianfei Cai, Bohan Zhuang
https://arxiv.org/abs/2507.17307

R-Stitch: Dynamic Trajectory Stitching for Efficient Reasoning
Chain-of-thought (CoT) reasoning enhances the problem-solving capabilities of large language models by encouraging step-by-step intermediate reasoning during inference. While effective, CoT introduces substantial computational overhead due to its reliance on autoregressive decoding over long token sequences. Existing acceleration strategies either reduce sequence length through early stopping or compressive reward designs, or improve decoding speed via speculative decoding with smaller models. …

Global CME-driven oscillations in the outer solar corona
Suzana S. A. Silva, J. J. Gonzalez-Aviles, Pete Riley, Michal Ben-Nun, Erico L. Rempel, Leonardo F. G. Batista, Gary Verth, Istvan Ballai, Chia-Hsien Lin, Luiz A. C. A. Schiavo, Viktor Fedun
https://arxiv.org/abs/2509.02516

Global CME-driven oscillations in the outer solar corona
Coronal mass ejections (CMEs) are known drivers of large-scale waves in the low corona. However, wave dynamics in the extended corona and inner heliosphere remain largely unexplored. Here, we report the first observational and numerical evidence of coherent global compressive oscillations in the outer corona and inner heliosphere, revealed by white-light SOHO/LASCO C3 data and an MHD simulation. Analyzing the CME event of 2012 July 23 using Spectral Proper Orthogonal Decomposition (SPOD), we is…

Structural Phase Separation and Enhanced Superconductivity in La1.875Ba0.125CuO4 under Uniaxial Strain
Baizhi Gao, Ehsan Nikbin, Graham Johnstone, Ze Shi, Christopher Heath, Narayan Appathurai, Beatriz Diaz Moreno, Al Rahemtulla, G. D. Gu, John M. Tranquada, Jane Y. Howe, Young-June Kim
https://arxiv.org/abs/2509.08154

Structural Phase Separation and Enhanced Superconductivity in La1.875Ba0.125CuO4 under Uniaxial Strain
Strain engineering has attracted significant attention in recent years due to its capability in tuning lattice and electronic structures of quantum materials. Using moderate uniaxial compressive strain, we induce structural phase separation in the low-temperature phase of x=1/8 La2-xBaxCuO4 (LBCO) single crystals. These structures are low temperature tetragonal (LTT), low temperature less orthorhombic (LTLO), and a plastically deformed nano-domain structure (PDNS), comprised of few-nanometer-si…

Static friction of liquid marbles
Yui Takai, Kei Mukoyama, Pritam Kumar Roy, Guillaume Lagubeau, David Qu\'er\'e, Samuel Poincloux, Timoth\'ee Mouterde
https://arxiv.org/abs/2506.20116

Static friction of liquid marbles
Liquid marbles, droplets coated with a granular layer, are highly mobile as particles prevent capillary adhesion with the substrate. Yet, they exhibit static friction due to their granular shell, which resists rolling until it yields. This friction depends on the shell geometry and increases exponentially with grain density, indicating a logistic dependence of interparticle compressive forces on surface coverage, confirmed by yielding measurements in granular rafts. These results reveal the she…

Pressure-Induced Mechanical Instabilities in Cubic SiC: Structural and Electronic Properties
Carlos P. Herrero, Eduardo R. Hernandez, Gabriela Herrero-Saboya, Rafael Ramirez
https://arxiv.org/abs/2509.02438

Pressure-Induced Mechanical Instabilities in Cubic SiC: Structural and Electronic Properties
Silicon carbide is widely used in electronics, ceramics, and renewable energy due to its exceptional hardness and resistance. In this study, we investigate the effects of hydrostatic and uniaxial pressure (both compressive and tensile) on the structural and electronic properties of $3C$-SiC. Our analysis is based on atomistic molecular dynamics (MD) simulations using an efficient tight-binding Hamiltonian, whose accuracy is validated against density functional theory calculations. Moreover, to …

Electron Doping Stabilization of Highly-Polar Supertetragonal BaSnO3
Qing Zhang, Karin M. Rabe, Xiaohui Liu
https://arxiv.org/abs/2507.23649 https://arxiv.…

Electron Doping Stabilization of Highly-Polar Supertetragonal BaSnO3
Could electrons stabilize ferroelectric polarization in unpolarized system? Basically, electron doping was thought to be contrary to polarization due to the well-known picture that the screening effect on Coulomb interaction diminishes ferroelectric polarization. However, in this paper, we propose a novel mechanism of stabilizing highly-polar supertetragonal BaSnO3 by electron doping. With moderate compressive strain applied, less than -5.5%, BaSnO3 exhibits stable nonpolarized normal tetragona…

Ambient-pressure superconductivity and electronic structures of engineered hybrid nickelate films
Zihao Nie, Yueying Li, Wei Lv, Lizhi Xu, Zhicheng Jiang, Peng Fu, Guangdi Zhou, Wenhua Song, Yaqi Chen, Heng Wang, Haoliang Huang, Junhao Lin, Dawei Shen, Peng Li, Qi-Kun Xue, Zhuoyu Chen
https://arxiv.org/abs/2509.03502

Ambient-pressure superconductivity and electronic structures of engineered hybrid nickelate films
Ruddlesden-Popper (RP) nickelates have emerged as a crucial platform for exploring the mechanisms of high-temperature superconductivity. However, the Fermi surface topology required for superconductivity remains elusive. Here, we report the thin film growth and ambient-pressure superconductivity of both hybrid monolayer-bilayer (1212) and pure bilayer (2222) structures, together with the absence of superconductivity in hybrid monolayer-trilayer (1313) structure, under identical compressive epit…

Control of polarization and polar chiral textures in BiFeO$_3$ by epitaxial strain and interfacial chemistry
Elzbieta Gradauskaite, Natascha Gray, Quintin N. Meier, Marta D. Rossell, Morgan Trassin
https://arxiv.org/abs/2508.20930

Control of polarization and polar chiral textures in BiFeO$_3$ by epitaxial strain and interfacial chemistry
The balance between interfacial chemistry, electrostatics, and epitaxial strain plays a crucial role in stabilizing polarization in ferroelectric thin films. Here, we bring these contributions into competition in BiFeO$_3$ (BFO) thin films grown on the charged-surface-terminated La$_{0.7}$Sr$_{0.3}$MnO$_3$ (LSMO)-buffered NdGaO$_3$ (001) substrates. The large anisotropic compressive strain from the substrate promotes the formation of ferroelectric domains despite the expected stabilization of a…

Signatures of spin-glass superconductivity in nickelate (La, Pr, Sm)3Ni2O7 films
Haoran Ji, Zheyuan Xie, Yaqi Chen, Guangdi Zhou, Longxin Pan, Heng Wang, Haoliang Huang, Jun Ge, Yi Liu, Guang-Ming Zhang, Ziqiang Wang, Qi-Kun Xue, Zhuoyu Chen, Jian Wang
https://arxiv.org/abs/2508.16412

Signatures of spin-glass superconductivity in nickelate (La, Pr, Sm)3Ni2O7 films
The discovery of Ruddlesden-Popper (R-P) nickelate superconductors under high pressure heralds a new chapter of high-transition temperature (high-Tc) superconductivity. Recently, ambient-pressure superconductivity is achieved in R-P bilayer nickelate thin films through epitaxial compressive strain, unlocking in-depth investigations into the superconducting characteristics. Here, through electrical transport study, we report the observation of spin-glass superconductivity with hysteretic magneto…