Results 261 to 270 of about 710,592 (303)

Tensor decomposition reveals coordinated multicellular patterns of transcriptional variation that distinguish and stratify disease individuals

, 2022
Mitchel J, Gordon MG, Perez RK, Biederstedt E, Bueno R, Ye CJ, Kharchenko PV.   +6 more
europepmc   +1 more source

Nonmonotonic Enhancement of Electro‐Optic Properties of Wurtzite AlN Thin Films by Sc Doping

Advanced Electronic Materials, EarlyView.
EO coefficient, rc, for Sc‐AlN thin films in comparison with that for Mg ZnO thin films (left). Calculated electric field intensity of the fundamental mode supported by the active area that includes Sc‐AlN (right). ABSTRACT Wurtzite ferroelectrics, such as Sc‐doped AlN, have recently attracted considerable attention for their potential in realizing ...
K. Abe, X. Yuan, K. Okamoto, X. Liu, C. Wang, T. Wu, H. Funakubo, S. Kondo, T. Nagasaki, P. Ma, A. Emboras, T. Yamada   +11 more
wiley   +1 more source

Tensor decomposition-based channel selection for motor imagery-based brain-computer interfaces. [PDF]

Cogn Neurodyn
Huang Z, Wei Q.
europepmc   +1 more source

Bridging Performance and Fate: A Framework for Sustainable, Composite‐Based Flexible Electronic Systems

Advanced Electronic Materials, EarlyView.
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

Upscaling Sodium‐Ion Battery Cells: From Aqueous Processing to Performance Assessment of Hard Carbon|Prussian White Pouch Cells

Advanced Energy Materials, EarlyView.
This study investigates the feasibility of scaling up Prussian White (PW)‐based cathode manufacturing at a pilot scale. Through careful PW dehydration combined with optimized aqueous processing, we report the stepwise development of industrially relevant 1 Ah pouch cells and evaluate their performance under various conditions.
Faduma M. Maddar, Katerina Gonos, Martand Singh, Jacob Compton, Daniel Atkinson, Matthew J. Capener, Mark Copley, Ivana Hasa   +7 more
wiley   +1 more source

Alcohol‐Adduct Mediated Precursor Stabilization Strategies for Conformal SnO2 Layers in Highly Efficient and Stable Perovskite Solar Modules

Advanced Energy Materials, EarlyView.
An alcohol‐adduct‐mediated strategy is employed to stabilize tin isopropoxide for the formation of a homogeneous double electron transport layer (ETL) incorporating SnO2 nanoparticles (NPs). This double‐ETL exhibits improved optical and charge‐transport properties due to reduced defect density and better energy level alignment, resulting in high ...
You‐Hyun Seo, Eun Young Park, Chan Su Moon, Dong Gyu Lee, Junho Park, Fabian Rotermund, Gill Sang Han, Tae Kyung Lee, Nam Joong Jeon, Bong Joo Kang, Young Yun Kim   +10 more
wiley   +1 more source

Random Tensor Theory for Tensor Decomposition

Proceedings of the AAAI Conference on Artificial Intelligence, 2022
We propose a new framework for tensor decomposition based on trace invariants, which are particular cases of tensor networks. In general, tensor networks are diagrams/graphs that specify a way to "multiply" a collection of tensors together to produce another tensor, matrix or scalar.
Ouerfelli, Mohamed, Tamaazousti, Mohamed, Rivasseau, Vincent   +2 more
openaire   +3 more sources

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Tensor Decompositions and Applications

SIAM Review, 2009
Summary: This survey provides an overview of higher-order tensor decompositions, their applications, and available software. A tensor is a multidimensional or \(N\)-way array. Decompositions of higher-order tensors (i.e., \(N\)-way arrays with \(N \geq 3\)) have applications in psycho-metrics, chemometrics, signal processing, numerical linear algebra ...
Tamara G. Kolda, Brett W Bader
exaly   +4 more sources

Time-Aware Tensor Decomposition for Sparse Tensors

2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dawon Ahn, Jun-Gi Jang, U Kang
openaire   +3 more sources