Results 121 to 130 of about 17,806 (305)

On a new inverse spectral problem

open access: yes, 1998
AmSTeX, version 2.1, 8 pages, amsppt ...
openaire   +2 more sources

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

The Inverse Spectral Problem for Jacobi-Type Pencils [PDF]

open access: yesSymmetry, Integrability and Geometry: Methods and Applications, 2017
In this paper we study the inverse spectral problem for Jacobi-type pencils. By a Jacobi-type pencil we mean the following pencil $J_5 - λJ_3$, where $J_3$ is a Jacobi matrix and $J_5$ is a semi-infinite real symmetric five-diagonal matrix with positive numbers on the second subdiagonal.
openaire   +3 more sources

Partial inverse problems for Sturm-Liouville operators on trees

open access: yes, 2017
n this paper, inverse spectral problems for Sturm–Liouville operators on a tree (a graph without cycles) are studied. We show that if the potential on an edge is known a priori, then b – 1 spectral sets uniquely determine the potential functions on a ...
Chung-Tsun Shieh   +2 more
core   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

On Recovering Sturm--Liouville-Type Operator with Delay and Jump Conditions [PDF]

open access: yesSahand Communications in Mathematical Analysis
In this manuscript, the second order differential operators with constant delay and transmission boundary conditions are studied. The asymptotic forms of the characteristic functions and eigenvalues  of the operators are obtained.
Mohammad Shahriari, Vladimir Vladicic
doaj   +1 more source

Inverse Spectral Problem for the Laguerre Differential Operator

open access: yesJournal of Mathematical Analysis and Applications, 1998
In [SIAM Rev. 34, 118-119 (1992)] \textit{A. Zayed} asked whether there exists a perturbation of the Laguerre operator (with boundary condition at \(0\) that leads to the Friedrichs extension) which has a given equally spaced sequence of real numbers, bounded neither from above nor from below, as its spectrum.
openaire   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Inverse spectral problems for certain differential operators [PDF]

open access: yesPacific Journal of Mathematics, 1984
Soit L o un operateur differentiel donne a matrice spectrale (ρ ij o ); soit une mesure matricielle positive (ρ ij ). On donne la technique pour construite L a partir de (ρ ij ) et (ρ ij o )
openaire   +3 more sources

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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