Results 101 to 110 of about 249,692 (322)

On eigenvector statistics in the spherical and truncated unitary ensembles [PDF]

, 2021
Guillaume Dubach
openalex   +1 more source

Tree decomposition by eigenvectors

Linear Algebra and its Applications, 2009
25 ...
Sander, T., Sander, J.W.
openaire   +2 more sources

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

AIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse, Ronald W. Rousseau, Martha A. Grover   +2 more
wiley   +1 more source

RESEARCH REGARDING THE MODAL PARAMETERS IDENTIFICATION FOR METALLIC STRUCTURES (II) [PDF]

Fiabilitate şi Durabilitate, 2012
Starting from the theoretical background written in [1], we present the package programs software realized by the authors for modal parameters identification of this kind of structures.
Dan ILINCIOIU, Ion TĂTARU, Cosmin-Mihai MIRIŢOIU   +2 more
doaj  

Reaction Kinetics Path Based on Entropy Production Rate and Its Relevance to Low-Dimensional Manifolds

Entropy, 2014
The equation that approximately traces the trajectory in the concentration phase space of chemical kinetics is derived based on the rate of entropy production.
Shinji Kojima
doaj   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Eigenvectors of Tensors—A Primer [PDF]

Acta Applicandae Mathematicae, 2018
We give an introduction to the theory and to some applications of eigenvectors of tensors (in other words, invariant one-dimensional subspaces of homogeneous polynomial maps), including a review of some concepts that are useful for their discussion. The intent is to give practitioners an overview of fundamental notions, results and techniques.
openaire   +2 more sources

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Rigorous Asymptotic Perturbation Bounds for Hermitian Matrix Eigendecompositions

Computation
In this paper, we present rigorous asymptotic componentwise perturbation bounds for regular Hermitian indefinite matrix eigendecompositions, obtained via the method of splitting operators.
Mihail Konstantinov, Petko Hristov Petkov   +1 more
doaj   +1 more source

From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures

Advanced Intelligent Systems, EarlyView.
This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it examines core principles, real‐world applications, and ongoing challenges.
Lingchen Kong, Yaoyao Fiona Zhao
wiley   +1 more source