Tensor Decomposition-based Feature Extraction and Classification to Detect Natural Selection from Genomic Data. [PDF]
Amin MR, Hasan M, Arnab SP, DeGiorgio M.
europepmc +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling
A robust angle estimation method for noncircular targets based on unitary tensor decomposition with mutual coupling in multiple-input multiple-output (MIMO) radar was proposed.Firstly,utilizing the banded symmetric Toeplitz structure of the mutual ...
Xianpeng WANG +5 more
doaj
On the Decomposition of Tensors by Contraction
openaire +4 more sources
Giant Bulk Photovoltaic Effect in Two‐Dimensional Topological Ferroelectric Semimetal
ABSTRACT Ferroelectric (FE) metals have attracted growing interest because they combine ferroelectricity with metallic behavior and enable polarization‐controlled band topology near the Fermi level. However, the number of known ferroelectric metals is still limited.
Jianhua Wang +8 more
wiley +1 more source
Tripartite entanglement decompositions for tensor networks
openThe candidate will consider the problem of efficiently decomposing a tripartite tensor into a small tensor network (3-6), with three tensors and six total links (three external, three internal).
PRA FLORIANI, FILIPPO
core
Adaptive Heterogeneity-Aware Tensor Decomposition for Hyperspectral Image Denoising. [PDF]
Long J, Yuan C.
europepmc +1 more source
Construction of a reduced-order model based on tensor decomposition and its application to airbag deployment simulations. [PDF]
Sasagawa T, Tanaka M.
europepmc +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source

