Results 51 to 60 of about 174,528 (270)
Classifications of surface waves in magneto-electro-elastic materials
The present study investigates the classifications of surface waves in magneto-electro-elastic materials. First, the standard eigenrelation, relating to the generalized displacement and the generalized tractions, is derived from the governing equations ...
Li Li, Man Lan, Peijun Wei, Qian Zhang
doaj +1 more source
Terahertz Spoof Surface Plasmon Polariton Structure for High‐Precision Gas Sensor Technology
This study presents a high‐sensitivity THz sensor based on spoof surface plasmon polaritons, optimized for gas sensing. The multilayer structure enables placement of the sample material in the densest region of the plasmonic surface waves, enhancing interaction with THz waves and significantly improving sensitivity to small refractive index variations ...
Vahid Najafy+2 more
wiley +1 more source
Spectral pruning of fully connected layers
Training of neural networks can be reformulated in spectral space, by allowing eigenvalues and eigenvectors of the network to act as target of the optimization instead of the individual weights.
Lorenzo Buffoni+4 more
doaj +1 more source
Non‐Hermitian Topological Lattice Photonics: An Analytic Perspective
This review establishes exact analytical solutions for non‐Hermitian Hatano–Nelson, Su–Schrieffer–Heeger, and generalized Rice–Mele models. We demonstrate non‐Hermitian skin effects via point‐gap topology, hybrid skin‐topological edge states in 2D lattices, and spin‐polarized boundary modes governed by dual bulk‐boundary correspondence.
Shihua Chen+6 more
wiley +1 more source
A systematic computational framework is developed for practical identifiability analysis in biological models. The framework establishes a rigorous definition, introduces efficient coordinate‐based identifiability metrics, and proposes novel regularization strategies.
Shun Wang, Wenrui Hao
wiley +1 more source
Eigenvectors of block circulant and alternating circulant matrices [PDF]
The eigenvectors and eigenvalues of block circulant matrices had been found for real symmetric matrices with symmetric submatrices, and for block circulant matrices with circulant submatrices. The eigenvectors are now found for general block circulant
Tee, Garry J.
core +1 more source
HiCGen introduces a hierarchical deep learning framework to predict genome organization across spatial scales using DNA sequences and genomic features. The model enables cross‐cell‐type predictions and in silico perturbation analysis, revealing correlations between loop domains and higher‐order structures.
Jiachen Wei, Yue Xue, Yi Qin Gao
wiley +1 more source
Realization of Spin‐locked Acoustic Helical Landau Levels in both Hexagonal and Square Lattices
Acoustic helical Landau levels rooted in quantum spin Hall systems are achieved by linearly increasing the local bandgap through the lifting of the double Dirac cone in acoustic crystals. Large‐area conveyance of acoustic energy facilitated by these helical Landau levels is demonstrated.
Yafeng Chen+5 more
wiley +1 more source
A switchable bidirectional acoustic metastructure is proposed, enabling broadband and frequency‐selective absorption via interleaved resonator coupling and exceptional point modulation. It outperforms traditional unidirectional designs, offering compact, efficient sound control from both directions and establishing a generalized framework for extending
Zichao Guo+7 more
wiley +1 more source
Benefits of Open Quantum Systems for Quantum Machine Learning
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio+2 more
wiley +1 more source