Timo Gahlmann

Inverse Design of Metamaterials and Photonic Crystals Using Machine Learning

Machine Learning Techniques and Practical Advice for the Free-Form Inverse Design of Nanophotonic Devices

Machine learning for the free-form inverse design in nanophotonics

Deep neural networks for the prediction of the optical properties and the free-form inverse design of metamaterials

Deep Neural Networks for the Topological Optimization of Metasurfaces

Machine learning for the free-form inverse design of metamaterials

Machine Learning Approach to the Topological Optimization of Metasurfaces

Inverse Design of Free-Form Metasurfaces with Deep Neural Networks

Deep Neural Networks for the Prediction of the Optical Properties and the Design of Metamaterials