Results 111 to 120 of about 710,592 (303)
Varying Coefficient Tensor Models for Brain Imaging [PDF]
We revisit a multidimensional varying-coefficient model (VCM), by allowing regressor coefficients to vary smoothly in more than one dimension, thereby extending the VCM of Hastie and Tibshirani.
Marx, Brian D. +2 more
core +1 more source
Co-PARAFAC: A Novel Cost-Efficient Scalable Tensor Decomposition Algorithm
This paper proposes a novel tensor decomposition method, cooperative parallel factor (Co-PARAFAC), that is devised to achieve higher accuracy with lower computational complexity and memory requirements than the conventional PARAFAC.
Farshad Shams +2 more
doaj +1 more source
Topological insulator–metamaterials integrated with electrically driven terahertz quantum cascade lasers enable parity‐dependent harmonic generation. Bulk‐dominated Bi2Se3 favors third‐harmonic emission at 9.96 THz, whereas topological‐surface‐state‐dominated Bi2Se3, Bi2Te3, and (Bi,Sb)2Te3 generate strong second harmonics near 6.5 THz.
Alessandra Di Gaspare +9 more
wiley +1 more source
Toward Jordan decompositions for tensors
We expand on an idea of Vinberg to take a tensor space and the natural Lie algebra that acts on it and embed their direct sum into an auxiliary algebra. Viewed as endomorphisms of this algebra, we associate adjoint operators to tensors. We show that the group actions on the tensor space and on the adjoint operators are consistent, which means that the ...
Frédéric Holweck, Luke Oeding
openaire +2 more sources
To address functionality limitations in plant‐based and industrially compostable polymer aerogels, this work introduces bio‐inspired aerogels with broadened functionality. Inspired by functional plant tissues, lightweight biopolymer aerogels based on exclusively stereocomplex crystals are fabricated, featuring hierarchically macro‐/meso‐porous ...
Anthony V. Tuccitto +10 more
wiley +1 more source
A low-rank tensor decomposition based hyperspectral image compression algorithm
Hyperspectral image (HSI), which is widely known that contains much richer information in spectral domain, has attracted increasing attention in various fields. In practice, however, since a hyperspectral image itself contains large amount of redundant
Bo Du +8 more
core +1 more source
A Tensor-Based Go Decomposition Method for Hyperspectral Anomaly Detection
Hyperspectral anomaly detection (HAD) aims at effectively separating the anomaly target from the background. The low-rank and sparse matrix decomposition (LRaSMD) technique has shown great potential in HAD tasks.
Meiping Song +4 more
doaj +1 more source
Descriptor‐Informed Screening of Interface‐Active Molecules for Efficient Magnesium Metal Anodes
A descriptor‐informed molecular screening strategy identifies 4‐bromo‐N, N‐dimethylaniline (BrNNA) as an interface‐active electrolyte component that enables fast Mg stripping/plating in Mg(TFSI)2‐based electrolytes. By simultaneously regulating Mg2+ solvation and interphase formation, the BrNNA‐containing electrolyte delivers activation‐free Mg ...
Hao Xu +16 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
The structure information of hyperspectral image (HSI) is well-characterized by tensors, surpassing the capabilities of traditional compressive sensing reconstruction models based on vectors and matrices.
Xinwei Wan +4 more
doaj +1 more source

