Results 121 to 130 of about 1,548,949 (331)
Inverse Problem for a Curved Quantum Guide
International Journal of Mathematics and Mathematical Sciences, 2012 We consider the Dirichlet Laplacian operator −Δ on a curved quantum guide in ℝ n(n=2,3) with an asymptotically straight reference curve. We give uniqueness results for the inverse problem associated to the reconstruction of the curvature by using either
Laure Cardoulis, Michel Cristofol
doaj +1 more source
Influence of the Tikhonov Regularization Parameter on the Accuracy of the Inverse Problem in Electrocardiography. [PDF]
Sensors (Basel), 2023 Wang T, Karel J, Bonizzi P, Peeters RLM.
europepmc +1 more source
The dynamical 3-dimensional inverse problem for the Maxwell system [PDF]
, 2012 M. N. Demchenko
openalex +1 more source
SOLVABILITY OF THE INVERSE PROBLEM FOR THE PSEUDOHYPERBOLIC EQUATION
, 2022 Serik Aitzhanov +2 more
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Locking Metastable Topological Domains in Nematic Liquid Crystal Pi Cells
Advanced Functional Materials, EarlyView.Selective photopolymerization in the presence of a controlled voltage defines permanent director walls that lock‐in metastable bend and twist configurations within nematic liquid crystal Pi cells. Q‐tensor simulations corroborate the experiments, demonstrating the topological state stabilization.
Adithya Pradeep +7 more
wiley +1 more source
On the inverse problem of vibro-acoustography. [PDF]
Meccanica, 2023 Kaltenbacher B.
europepmc +1 more source
A Numerical Approach to Solving an Inverse Heat Conduction Problem Using the Levenberg‐Marquardt Algorithm [PDF]
, 2014 Min Tao, Xing Chen, Yao Sun, Qiang Huang
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Advanced Functional Materials, EarlyView.Electromagnetic interference (EMI) shields consisting of polylactic acid (PLA) in layers with different concentrations of multiwalled carbon nanotubes (MWCNT) are produced using additive manufacturing. The permittivity function of layers with different filler concentrations is learned using data of homogeneous and randomly ordered shields.
Stijn De Smedt +5 more
wiley +1 more source
A General Deep Learning Method for Computing Molecular Parameters of a Viscoelastic Constitutive Model by Solving an Inverse Problem. [PDF]
Polymers (Basel), 2023 Ye M, Fan YQ, Yuan XF.
europepmc +1 more source