Results 131 to 140 of about 23,770 (308)

Decomposition of linear tensor transformations

, 2023
One of the main issues in computing a tensor decomposition is how to choose the number of rank-one components, since there is no finite algorithms for determining the rank of a tensor.
Turchetti, Claudio
core  

3D Printed Omniphobic Slippery Liquid Infused Porous Surfaces for Low Surface Tension Repellency

Advanced Materials Technologies, EarlyView.
A 3D printing strategy fabricates omniphobic slippery liquid‐infused porous structures with lubricant reservoirs and interconnected microchannels. A post‐printing surface treatment modifies the porous surface to ensure compatibility with the infused fluorinated lubricant.
Noa Trink, Shlomo Magdassi
wiley   +1 more source

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

Advanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee, Rocco Lupoi, Michael J. Gibbons   +2 more
wiley   +1 more source

Spatio-Temporal Multiway Data Decomposition Using Principal Tensor Analysis on k-Modes: The R Package PTAk

The purpose of this paper is to describe the R package {PTAk and how the spatio-temporal context can be taken into account in the analyses. Essentially PTAk() is a multiway multidimensional method to decompose a multi-entries data-array, seen ...
Didier G. Leibovici
core  

On tensor decomposition, sparse interpolation and Padé approximation

, 2016
What is the connection of tensor decomposition in multilinear algebra with exponential analysis from signal processing, sparse interpolation from computer algebra, Gaussian quadrature from numerical analysis, and Padé approximation theory?
Lee, Wen-Shin, Yang, Xianglan, Cuyt, Annie A.M., Cuyt, Annie   +3 more
core  

When Cubic is Not Isotropic: Phonon–Exciton Decoupling in CuInSnS4 Single Crystals

Advanced Optical Materials, EarlyView.
A cubic CuInSnS4 crystal does not fully play by cubic rules. While phonons follow the average iso‐tropic lattice symmetry, the disorder‐localized excitons break away, showing strong, and reproduci‐ble polarization‐dependent emission. This work shows how intrinsic cation disorder can turn a mac‐roscopically cubic material into a source of hidden ...
Lara Kim Linke, Yvonne Tomm, Xinyun Liu, Galina Gurieva, Daniel M. Többens, Pardis Adams, Michel Calame, Ryan W. Crisp, Jessica Boland, Seán Kavanagh, Susan Schorr, Mirjana Dimitrievska   +11 more
wiley   +1 more source

Non-iterative low-multilinear-rank tensor approximation with application to decomposition in rank-(1,L,L) terms

, 2017
Submitted to SIAM Journal on Scientific ComputingComputing low-rank approximations is one of the most important and well-studied problems involving tensors.
de Morais Goulart, José Henrique, Comon, Pierre   +1 more
core  

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Tensor decomposition and its applications [PDF]

, 2010
This dissertation reviews classical vector - tensor analysis, building up to the necessary techniques required to decompose a tensor into a tensor train and to reconstruct it back into the original tensor with minimal error.
Tock, Daniel
core  

Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE) : Technical feasibility in clinical MRI systems

, 2019
Microstructure imaging techniques based on tensor-valued diffusion encoding have gained popularity within the MRI research community. Unlike conventional diffusion encoding—applied along a single direction in each shot—tensor-valued encoding employs ...
Nilsson, Markus, Lätt, Jimmy, Markus Nilsson, Szczepankiewicz, Filip, Jimmy Lätt, Sjölund, Jens, Filip Szczepankiewicz (421751), Sjölund, Jens,, Filip Szczepankiewicz, Latt, Jimmy,, Szczepankiewicz, Filip,, Jens Sjölund, Freddy Ståhlberg, Freddy Ståhlberg (6523895), Nilsson, Markus,, Stahlberg, Freddy,, Markus Nilsson (421753), Jens Sjölund (6523892), Jimmy Lätt (421752), Ståhlberg, Freddy   +19 more
core   +1 more source