Results 41 to 50 of about 3,363 (257)

Scalable Symmetric Tucker Tensor Decomposition

SIAM Journal on Matrix Analysis and Applications
We study the best low-rank Tucker decomposition of symmetric tensors. The motivating application is decomposing higher-order multivariate moments. Moment tensors have special structure and are important to various data science problems. We advocate for projected gradient descent (PGD) method and higher-order eigenvalue decomposition (HOEVD ...
Ruhui Jin, Joe Kileel 0001, Tamara G. Kolda, Rachel A. Ward   +3 more
openaire   +3 more sources

Rapid Fabrication of Self‐Propelled and Steerable Magnetic Microcatheters for Precision Medicine

Advanced Materials, EarlyView.
A rapid Joule heating fabrication method for the production of self‐propelling, adaptive microcatheters, with tunable stiffness and integrated microfluidic channels is presented. Demonstrated through three microrobotic designs, including a steerable guiding catheter, an untethered wave‐crawling TubeBot, and a distal‐end propelled microcatheter, it was ...
Zhi Chen, Boris Rivkin, David Castellanos‐Robles, Ivan Soldatov, Lukas Beyer, Mariana Medina‐Sánchez   +5 more
wiley   +1 more source

Functional Connectome Fingerprinting Through Tucker Tensor Decomposition

Applied Sciences
The human functional connectome (FC) is a representation of the functional couplings between brain regions derived from blood oxygen level-dependent (BOLD) signals.
Vitor Carvalho, Mintao Liu, Jaroslaw Harezlak, Ana María Estrada Gómez, Joaquín Goñi   +4 more
doaj   +1 more source

Hyperspectral Compressive Image Reconstruction With Deep Tucker Decomposition and Spatial–Spectral Learning Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Hyperspectral compressive imaging has taken advantage of compressive sensing theory to capture spectral information of the dynamic world in recent decades of years, where an optical encoder is employed to compress high dimensional signals into a single 2-
Hao Xiang, Baozhu Li, Le Sun, Yuhui Zheng, Zebin Wu, Jianwei Zhang, Byeungwoo Jeon   +6 more
doaj   +1 more source

Closed‐loop Recycling of Sulfide Solid Electrolytes from Spent Solid‐State Sodium Batteries

Advanced Materials, EarlyView.
Closed‐loop recycling of sulfide solid electrolyte via a mild dissolution–recrystallization–thermal treatment process enables efficient recovery from spent all‐solid‐state sodium batteries. The regenerated material preserves the crystal structure, local coordination, and chemical states, maintaining high ionic conductivity, reduced interfacial ...
Yongtai Xu, Radwa Elawadly, Renita M. D'Souza, Enzhong Jin, Yanchang Yang, Vinicius Martins, Yijia Wang, Yi Gan, Mingrui Yang, Ruirui Zhang, Yining Huang, Xin Pang, Xiaotu Ma, Qingsong Howard Tu, Yang Zhao   +14 more
wiley   +1 more source

High Dynamic Range Image Watermarking Based on Tucker Decomposition

IEEE Access, 2019
High dynamic range (HDR) imaging technique has received much attentions in the recent years for its abundant details and wide dynamic range of luminance.
Mei Yu, Yang Wang, Gangyi Jiang, Yongqiang Bai, Ting Luo   +4 more
doaj   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

Parallel Randomized Tucker Decomposition Algorithms

SIAM Journal on Scientific Computing
The Tucker tensor decomposition is a natural extension of the singular value decomposition (SVD) to multiway data. We propose to accelerate Tucker tensor decomposition algorithms by using randomization and parallelization. We present two algorithms that scale to large data and many processors, significantly reduce both computation and communication ...
Rachel Minster, Zitong Li, Grey Ballard
openaire   +3 more sources

Stabilizing Electrochemical Interfaces With Multifunctional Cobalt Nitride Layers

Advanced Materials Interfaces, EarlyView.
Cobalt nitrides emerged recently as an interesting class of earth‐abundant oxygen evolution catalysts. Herein, plasma‐enhanced atomic layer deposition is used to synthesize multifunctional cobalt nitride layers that simultaneously protect and catalytically activate photoelectrode surfaces.
Matthias Kuhl, Lukas A. Kohlmaier, Sergej Levashov, Lukas M. Wolz, Sonja Matich, Nina Miller, Johannes Dittloff, Johanna Eichhorn   +7 more
wiley   +1 more source

Hyperspectral Image Denoising via Low-Rank Tucker Decomposition with Subspace Implicit Neural Representation

Remote Sensing
Hyperspectral image (HSI) denoising is an important preprocessing step for downstream applications. Fully characterizing the spatial-spectral priors of HSI is crucial for denoising tasks.
Cheng Cheng, Dezhi Sun, Yaoyuan Yang, Zhoucheng Guo, Jiangjun Peng   +4 more
doaj   +1 more source