Litcius/Paper detail

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si47.svg"><mml:mrow><mml:mi mathvariant="bold-italic">k</mml:mi></mml:mrow></mml:math>-space physics-informed neural network (k-PINN) for compressed spectral mapping and efficient inversion of vibrations in thin composite laminates

Saeid Hedayatrasa, Olga Fink, Wim Van Paepegem, Mathias Kersemans

2024Mechanical Systems and Signal Processing13 citationsDOI

Topics & Concepts

AlgorithmSpace (punctuation)MathematicsScalable Vector GraphicsArtificial intelligenceAlgebra over a fieldComputer sciencePure mathematicsWorld Wide WebOperating systemUltrasonics and Acoustic Wave PropagationStructural Health Monitoring TechniquesOptical measurement and interference techniques
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si47.svg"><mml:mrow><mml:mi mathvariant="bold-italic">k</mml:mi></mml:mrow></mml:math>-space physics-informed neural network (k-PINN) for compressed spectral mapping and efficient inversion of vibrations in thin composite laminates | Litcius