Inverse Engineering of Absorption and Scattering in Nanoparticles: A Machine Learning Approach
Author:
Affiliation:
1. Chapman University,Fowler School of Engineering,Orange,CA,USA,92866
2. Virginia Tech,Department of Physics,Blacksburg,Virginia,USA,24061
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10360489/10360472/10360618.pdf?arnumber=10360618
Reference6 articles.
1. Tackling Photonic Inverse Design with Machine Learning
2. Batch normalization biases residual blocks towards the identity function in deep networks;De;Advances in Neural Information Processing Systems,2020
3. Region-specified inverse design of absorption and scattering in nanoparticles by using machine learning
4. Inverse design with flexible design targets via deep learning: Tailoring of electric and magnetic multipole scattering from nano-spheres
5. Absorption and Scattering of Light by Small Particles
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