4 papers
Deep Neural Operator Learning for Probabilistic Models
Erhan Bayraktar, Qi Feng, Zecheng Zhang +1
We propose a deep neural-operator framework for a general class of probability models. Under global Lipschitz conditions on the operator over the entire Euclidean space-and for a b…
POST: Photonic Swin Transformer for Automated and Efficient Prediction of PCSEL
Qi Xin, Hai Huang, Chenyu Li +2
This work designs a model named POST based on the Vision Transformer (ViT) approach. Across single, double, and even triple lattices, as well as various non-circular complex hole s…
Towards Efficient PCSEL Design: A Fully AI-driven Approach
Hai Huang, Ziteng Xu, Qi Xin +1
We present an fully AI-driven design framework for photonic crystals (PhCs), engineered to achieve high efficiency in photonic crystal surface-emitting lasers (PCSELs). By discreti…
Novel Constructions of 2-D Golay Complementary Array Sets of Flexible Sizes
Zhaoyu Zhang, Xiaoyu Chen, Yuqiong Du +1
One-dimensional (1-D) Golay complementary sets(GCSs) possess numerous well-known properties and have achieved extensive use in communication engineering. The concept of 1-D GCSs ca…