Results 61 to 70 of about 518,086 (284)
, 2003 The methods of quantum chemistry and solid state theory to solve the many-body problem are reviewed. We start with the definitions of reduced density matrices, their properties (contraction sum rules, spectral resolutions, cumulant expansion, $N ...
Tasnadi, F., Ziesche, P.
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Three‐dimensional Antimony Sulfide Based Flat Optics
Advanced Functional Materials, EarlyView.This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang +18 more
wiley +1 more source
On Minimal Spectral Factors with Zeroes and Poles lying on Prescribed Region
, 2015 In this paper, we consider a general discrete-time spectral factorization problem for rational matrix-valued functions. We build on a recent result establishing existence of a spectral factor whose zeroes and poles lie in any pair of prescribed regions ...
Baggio, Giacomo, Ferrante, Augusto
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Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Spectral Problem of N xN Matrix Differential Operators on the Line [PDF]
Progress of Theoretical Physics, 1986 The spectral problem for the generalized Zakharov-Shabat operator acting on N-vector functions on the line is studied. The eigenvalue problem is transformed to the Fredholm integral equations which yield the Jost solutions meromorphic on the half plane of the complex spectral parameter.
Y. Kato, H. Nakajima
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The Matrix Ridge Approximation: Algorithms and Applications [PDF]
, 2013 We are concerned with an approximation problem for a symmetric positive semidefinite matrix due to motivation from a class of nonlinear machine learning methods. We discuss an approximation approach that we call {matrix ridge approximation}.
Zhang, Zhihua
core
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
, 2017 Spectral unmixing (SU) is a data processing problem in hyperspectral remote sensing. The significant challenge in the SU problem is how to identify endmembers and their weights, accurately. For estimation of signature and fractional abundance matrices in
Khoshsokhan, Sara +2 more
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Advanced Functional Materials, EarlyView.A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source
Remote Sensing, 2017 Due to the advances in hyperspectral sensor technology, hyperspectral images have gained great attention in precision agriculture. In practical applications, vegetation classification is usually required to be conducted first and then the vegetation of ...
Yuanyuan Fu +6 more
doaj +1 more source
On Construction of a Super Hierarchy of the Wadati-Konno-Ichikawa Equation
Advances in Mathematical Physics, 2020 In this paper, a super Wadati-Konno-Ichikawa (WKI) hierarchy associated with a 3×3 matrix spectral problem is derived with the help of the zero-curvature equation.
Xuemei Li, Lutong Li
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