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)
Work · 2020—2026
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.
Filter · by topic
12 papers
2026
Advanced Functional MaterialsDOI
Ionic Liquid-based Reversible Metal Electrodeposition for Adaptive Radiative Thermoregulation under Extreme Environments
Liang, J., Sui, C., Tian, J., et al.
2025
Applied Physics ReviewsDOI
Physics-Informed Learning in Artificial Electromagnetic Materials
Deng, Y., Fan, K., Jin, B., Malof, J. M., & Padilla, W. J.
IEEE AccessDOI
Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT
Lu, D., Deng, Y., Malof, J. M., & Padilla, W. J.
2024
NanophotonicsDOI
Fundamental absorption bandwidth to thickness limit for transparent homogeneous layers
Padilla, W. J., Deng, Y., Khatib, O., & Tarokh, V.
2023
arXiv preprintDOI
Deep Active Learning for Scientific Computing in the Wild
Ren, S., Deng, Y., Padilla, W. J., Collins, L., & Malof, J.
2022
Photonics and NanostructuresDOI
Deep inverse photonic design: a tutorial
Deng, Y., Ren, S., Malof, J., & Padilla, W. J.
arXiv preprintDOI
Towards Robust Deep Active Learning for Scientific Computing
Ren, S., Deng, Y., Padilla, W. J., & Malof, J.
NanoscaleDOI
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
NeurIPS D&BDOI
Benchmarking data-driven surrogate simulators for artificial electromagnetic materials
Deng, Y., Dong, J., Ren, S., Khatib, O., Soltani, M., Tarokh, V., et al.
ICLRDOI
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.
Optics ExpressDOI
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