Results 101 to 110 of about 710,592 (303)

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

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  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

An Iterative Deflation Algorithm for Exact CP Tensor Decomposition

, 2015
International audienceThe Canonical Polyadic (CP) tensor decomposition has become an attractive mathematical tool these last ten years in various fields.
De Almeida, André,, Pereira da Silva, Alex, Comon, Pierre, de Almeida, André, L. F.   +3 more
core  

Canonical polyadic decomposition of hyperspectral patch tensors

, 2016
International audienceSpectral unmixing (SU) is one of the most important and studied topics in hyperspectral image analysis. By means of spectral unmixing it is possible to decompose a hyperspectral image in its spectral components, the so-called ...
J. E. Cohen, Cohen, Jérémy,, Drumetz, Lucas, P. Comon, Cabral Farias, Rodrigo, Usevich, Konstantin, Cohen, Jérémy, E, Chanussot, Jocelyn, R. Cabral Farias, K. Usevich, Comon, Pierre, Veganzones, Miguel Angel, L. Drumetz, J. Chanussot, M. A. Veganzones   +14 more
core   +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   +2 more sources

Beyond Nanoporosity: A CO2‐Conditioned Glassy Matrix Contributes to the Brittle‐to‐Ductile Transition of Nanocellular Polyetherimide

Advanced Materials, EarlyView.
The mechanical performance of nanocellular polyetherimide cannot be explained by nanoporosity alone. It is shown that CO2 saturation and desorption leave a distinct mechanical signature in the glassy matrix before foaming. This matrix contribution provides a new route to understand and optimize the brittle to ductile transition in nanocellular polymers.
Félix Lizalde‐Arroyo, Frederik Van Loock, Victoria Bernardo, Tuuli Peltola, René Bes, Alberto Tena, Miguel Ángel Rodríguez‐Pérez, Judith Martín‐de León   +7 more
wiley   +1 more source

On almost sure identifiability of non multilinear tensor decomposition

, 2014
International audienceUniqueness of tensor decompositions is of crucial importance in numerous engineering applications. Extensive work in algebraic geometry has given various bounds involving tensor rank and dimensions to ensure generic identifiability.
Cohen, Jérémy,, Cohen, Jérémy, E, Comon, Pierre   +2 more
core  

Hierarchical Flexible Ceramic Nanofiber Membrane for Simultaneous Membrane Distillation and Photocatalytic Hydrogen Evolution

Advanced Materials, EarlyView.
A hierarchical flexible ceramic nanofiber membrane integrates a La‐stabilized ZrO2 scaffold with superhydrophobic UiO‐66‐NH2/CdS heterojunctions. The gas–liquid–solid interfacial architecture sustains vapor‐selective desalination, visible‐light charge separation, and rapid H2 extraction, enabling simultaneous freshwater production and photocatalytic ...
Pengfei Lin, Xiaochen Lu, Jiawei Sun, Shuai Guo, Xinping He, Chunhai Yi, Zhenyao Wang, Jiaxin Guo, Swee Ching Tan, Alicia Kyoungjin An   +9 more
wiley   +1 more source

Spectrum Situation Awareness for Space–Air–Ground Integrated Networks Based on Tensor Computing

Sensors
The spectrum situation awareness problem in space–air–ground integrated networks (SAGINs) is studied from a tensor-computing perspective. Tensor and tensor computing, including tensor decomposition, tensor completion and tensor eigenvalues, can satisfy ...
Bin Qi, Wensheng Zhang, Lei Zhang
doaj   +1 more source

Decoding Synergistic Pathways in Bimetallic MOFs for Advanced Oxidation Processes

Advanced Materials, EarlyView.
This review presents a unified framework linking metal pairing and framework design with electronic structure, redox cycling, oxidant activation, reactive‐species generation, and catalytic performance across photocatalytic and oxidant‐based BMOF‐AOPs. The resulting design principles guide the development of hydrolytically stable and efficient BMOFs for
Karim El‐Naggar, Huayang Zhang, Shaobin Wang   +2 more
wiley   +1 more source