Results 91 to 100 of about 43,843 (312)

Eigenvectors of the principal components.

, 2019
Eigenvectors of the principal components.
Raul Gonzalez (442734), Kellen Lauer (6623081), Brett Froelich (161731), Denene Blackwood (6623078), Rachel Noble (584043)   +4 more
core   +1 more source

Characterization of Random Matrix Eigenvectors for Stochastic Block Model [PDF]

, 2015
International audienceThe eigenvalue spectrum of the adjacency matrix of Stochastic Block Model (SBM) consists of two parts: a finite discrete set of dominant eigenvalues and a continuous bulk of eigenvalues. We characterize analytically the eigenvectors
Cottatellucci, Laura, Laura Cottatellucci, Kadavankandy, Arun, Avrachenkov, Konstantin, Konstantin Avrachenkov, Arun Kadavankandy   +5 more
core   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

A Kinetic–Energetic Bottleneck of Charge‐Transfer Injection Governs Energy Loss in Organic Solar Cells

Advanced Energy Materials, EarlyView.
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang, Tobias Osterrieder, Atul Shukla, Christos L. Chochos, Vasilis G. Gregoriou, Yakun He, Hua Tang, Julian Matthias Haffner‐Schirmer, Karen Forberich, Ning Li, Thomas Heumueller, Frédéric Laquai, Jens Hauch, Safa Shoaee, Dieter Neher, Larry Lüer, Christoph J. Brabec   +16 more
wiley   +1 more source

On the spectrum of tridiagonal matrices with two-periodic main diagonal

Special Matrices
We find the spectrum and eigenvectors of an arbitrary irreducible complex tridiagonal matrix with two-periodic main diagonal. This is expressed in terms of the spectrum and eigenvectors of the matrix with the same sub- and superdiagonals and zero main ...
Dyachenko Alexander, Tyaglov Mikhail
doaj   +1 more source

A Method of Abnormal States Detection Based on Adaptive Extraction of Transformer Vibro-Acoustic Signals

Energies, 2017
State monitoring is very important for the safe operation of high-voltage transformers. A non-contact vibro-acoustic detection method based on the Blind Source Separation (BSS) was proposed in this paper to promote the development of transformer on-line ...
Liang Zou, Yongkang Guo, Han Liu, Li Zhang, Tong Zhao   +4 more
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

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

Pattern Classification Using Secondary Components Perceptron and Economic Applications [PDF]

In this paper we will classify patterns using a modified Perceptron algorithm (Dumitrache et al., 1999). The generalization uses the eigenvalues and the eigenvectors of the sample covariance matrix, as we did for classifying patterns using PCR (Ciuiu ...
Ciuiu, Daniel
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