Design of Chiral Metamaterials via Deep Neural Networks
Published in Journal 1, 2020
A possibility of designing material geometry using integrated machine learning models and optimization methods.
Recommended citation: Yun‑Che Wang, Chun Wei Liu , Pei‑Chen Cheng , Jyun‑Ping Wang, Tsai‑Wen Ko, "Design of Chiral Metamaterials via Deep Neural Networks" 44th National Conference on Theoretical and Applied Mechanics (CTAM2020). https://lufter.github.io/files/Design_of_Chiral_Metamaterials_via_Deep_Neural_Networks.pdf