Physics-Informed Learning in Artificial Electromagnetic Materials
Deng, Y., Fan, K., Jin, B., Malof, J. M., & Padilla, W. J.
Work · 2020—2024
Publications,
talks, awards.
Twelve papers across physics-informed ML, inverse design, active learning, and benchmarks. Most work co-authored with the Padilla and Malof labs at Duke.
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12 papers
2024
Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT
Lu, D., Deng, Y., Malof, J. M., & Padilla, W. J.
Solution-processable bio-inspired smart skin for synergistic solar and radiative heat management
Xie, W., Deng, Y., Liu, Y., Zhao, Y., et al. (33 authors)
Ionic Liquid-based Reversible Metal Electrodeposition for Adaptive Radiative Thermoregulation under Extreme Environments
Liang, J., Sui, C., Tian, J., et al.
Fundamental absorption bandwidth to thickness limit for transparent homogeneous layers
Padilla, W. J., Deng, Y., Khatib, O., & Tarokh, V.
2023
2022
Deep inverse photonic design: a tutorial
Deng, Y., Ren, S., Malof, J., & Padilla, W. J.
Towards Robust Deep Active Learning for Scientific Computing
Ren, S., Deng, Y., Padilla, W. J., & Malof, J.
Inverse deep learning methods and benchmarks for artificial electromagnetic material design
Ren, S., Mahendra, A., Khatib, O., Deng, Y., Padilla, W. J., & Malof, J. M.
2021
Benchmarking data-driven surrogate simulators for artificial electromagnetic materials
Deng, Y., Dong, J., Ren, S., Khatib, O., Soltani, M., Tarokh, V., et al.
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval
Dong, J., Ren, S., Deng, Y., Khatib, O., Malof, J., et al.
Neural-adjoint method for the inverse design of all-dielectric metasurfaces
Deng, Y., Ren, S., Fan, K., Malof, J. M., & Padilla, W. J.
Talks
& posters
2022Machine learning for the next generation metamaterialsTSRC
2021Benchmarking data-driven surrogate simulatorsNeurIPS D&B
2020Deep learning for inverse design of all-dielectric metasurfacesTriangle Hard Matter Workshop
Honors
2023Best Student Talk AwardDuke ECE Retreat
2021Energy Data Analytics Ph.D. Student FellowsDuke
2020Best Graduate Student Poster AwardTriangle Hard Matter Workshop