Generative Inverse Design of Metamaterials with Functional Responses by
Interpretable LearningAdvanced Intelligent Systems (Adv. Intell. Syst.), 2023 |
Data-Driven Design for Metamaterials and Multiscale Systems: A ReviewAdvances in Materials (AM), 2023 |
Generating extreme quantum scattering in graphene with machine learningPhysical review B (PRB), 2022 |
Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in
MetasurfacesAdvanced Optical Materials (AOM), 2021 |
Radiation pattern prediction for Metasurfaces: A Neural Network based
approachItalian National Conference on Sensors (INS), 2020 |