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Physics-Informed Machine Learning for the Inverse Design of Wave Scattering Clusters
We present a modeling and training formulation to optimize the multi-functional nature of our network in the context of inverse design, remote sensing, and wavefield engineering.
A Look into Chaos Detection through Topological Data Analysis
Bi-variate density estimates of the randomly projected time-series in the $p$-$q$ plane described in Gottwald and Melbourne's approach for 0/1 detection are used to generate a gray-scale image.
Chaotic Dynamics
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