A machine learning approach for buckling analysis of a bi-directional FG microbeam
This study investigates the buckling analysis of a bi-directional functionally graded
nanobeam (BD-FGNB) on a Winkler foundation through machine learning (ML) …
nanobeam (BD-FGNB) on a Winkler foundation through machine learning (ML) …
Prediction of optical properties of uniaxial hyperbolic nanospheres via artificial neural network
AE Arumona, A Johnson - Physica Scripta, 2024 - pubishingsupport.iopscience.iop.org
In this study, absorption and scattering multilayer perceptron models are developed and
validated to predict the optical spectra of uniaxial hyperbolic nanospheres. The finite …
validated to predict the optical spectra of uniaxial hyperbolic nanospheres. The finite …
Inverse Design of Anisotropic Nanostructures using modern Deep Learning methods
P Persson - 2024 - diva-portal.org
Nanophotonic and plasmonic research have seen many breakthroughs lately which has
created a demand for automated design algorithms to optimize optical elements at the …
created a demand for automated design algorithms to optimize optical elements at the …
Prediction of optical properties of uniaxial hyperbolic nanospheres via artificial neural network
In this study, absorption and scattering multilayer perceptron models are developed and
validated for the prediction of the optical spectra of uniaxial hyperbolic nanospheres. The …
validated for the prediction of the optical spectra of uniaxial hyperbolic nanospheres. The …