Results 71 to 80 of about 3,920,328 (252)
On Data-Driven Sparse Sensing and Linear Estimation of Fluid Flows
The reconstruction of fine-scale information from sparse data measured at irregular locations is often needed in many diverse applications, including numerous instances of practical fluid dynamics observed in natural environments.
Balaji Jayaraman, S M Abdullah Al Mamun
doaj +1 more source
Scalable stencil lithography enables resist‐free fabrication of high‐index Ge metasurfaces for mid‐infrared molecular fingerprinting. Reversible thermo‐optic tuning provides post‐fabrication spectral control for precise resonance–vibration mode alignment, enabling enhanced molecular fingerprinting of microplastic particles.
Shovasis Kumar Biswas +6 more
wiley +1 more source
Single‐cell and spatially resolved impedance mapping using a high‐density CMOS‐MEA platform enables non‐invasive monitoring of osteoarthritis‐associated chondrocyte dynamics. Continuous label‐free measurements reveal heterogeneous remodeling behaviors, including proliferation, migration, and phenotypic transitions, establishing a powerful approach for ...
Neha Deshpande +9 more
wiley +1 more source
Limits to the Hall Effect and Other Nonreciprocal Effects in Three‐Dimensional Metamaterials
Comprehensive and fundamental bounds on nonreciprocal effects in three‐dimensional metamaterials are derived. They reveal that the effective Hall mobility cannot exceed the largest constituent mobility, that, under certain conditions, the Verdet constant cannot be enhanced, and that, for constituents with Hall coefficients of the same sign, the largest
Christian Kern, Graeme W. Milton
wiley +1 more source
Our work introduces a new framework that fundamentally changes how orientation in bismuth oxyhalide systems is approached. Comprehensive experiments, backed by theoretical models, reveal the pivotal role of halide anions to modify the van der Waals stacking energies required to direct orientation. Our method enables the fabrication of near perfect (001)
Gabriel Aygur +10 more
wiley +1 more source
An elastic net orthogonal forward regression algorithm [PDF]
In this paper we propose an efficient two-level model identification method for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level
Hong, Xia, Chen, Sheng
core +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Orthogonal least squares algorithm for training multi-output radial basis function networks
A constructive learning algorithm for multioutput radial basis function networks is presented. Unlike most network learning algorithms, which require a fixed network structure, this algorithm automatically determines an adequate radial basis function ...
Cowan, C. F. N., Grant, P. M., Chen, S.
core
The method which can be used for calculation of own waves shielded waveguides with any law of change of parameters of a waveguide from cross-section co-ordinate is offered.
R.V. Budaragin
doaj
Numeric-analytical approach to integrals calculation at construction of orthogonal models
The numeric-analytical method of calculation of the integrals is proposed for construction of orthogonal models. The given method allows to increase the accuracy of orthogonal models due to obtained algebraic and recurrent relations for integrals used ...
S. A. Prokhorov, I. M. Kulikovskikh
doaj +1 more source

