activity
20202024
most citedLearning Electromagnetic Metamaterial Physics With ChatGPT

3 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

physics.optics2024★ 3 cited

Learning Electromagnetic Metamaterial Physics With ChatGPT

Darui Lu, Yang Deng, Jordan M. Malof +1

Large language models (LLMs) such as ChatGPT, Gemini, LlaMa, and Claude are trained on massive quantities of text parsed from the internet and have shown a remarkable ability to re…

physics.optics2023

Fundamental absorption bandwidth to thickness limit for transparent homogeneous layers

Willie J. Padilla, Yang Deng, Omar Khatib +1

Past work has considered the analytic properties of the reflection coefficient for a metal-backed slab. The primary result established a fundamental relationship for the minimal la…

cs.LG2023

Does Deep Active Learning Work in the Wild?

Simiao Ren, Saad Lahrichi, Yang Deng +3

Deep active learning (DAL) methods have shown significant improvements in sample efficiency compared to simple random sampling. While these studies are valuable, they nearly always…

cs.LG2022

Towards Robust Deep Active Learning for Scientific Computing

Simiao Ren, Yang Deng, Willie J. Padilla +1

Deep learning (DL) is revolutionizing the scientific computing community. To reduce the data gap, active learning has been identified as a promising solution for DL in the scientif…

cs.LG2021★ 2 cited

Inverse deep learning methods and benchmarks for artificial electromagnetic material design

Simiao Ren, Ashwin Mahendra, Omar Khatib +3

Deep learning (DL) inverse techniques have increased the speed of artificial electromagnetic material (AEM) design and improved the quality of resulting devices. Many DL inverse te…

cs.LG2021

Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions

Juncheng Dong, Simiao Ren, Yang Deng +5

Numerous physical systems are described by ordinary or partial differential equations whose solutions are given by holomorphic or meromorphic functions in the complex domain. In ma…

physics.optics2020★ 3 cited

Neural-adjoint method for the inverse design of all-dielectric metasurfaces

Yang Deng, Simiao Ren, Kebin Fan +2

All-dielectric metasurfaces exhibit exotic electromagnetic responses, similar to those obtained with metal-based metamaterials. Research in all-dielectric metasurfaces currently us…