Publications

Rozman, N., R. Peng, and W. J. Padilla. “Deep Inverse Design of an Infrared Metasurface Diffuser.” Advanced Optical Materials 12, no. 33 (November 25, 2024). https://doi.org/10.1002/adom.202401462.

Xu, Yucheng, Jia-Qi Yang, Kebin Fan, Sheng Wang, Jingbo Wu, Caihong Zhang, De-Chuan Zhan, et al. “Physics-Informed Inverse Design of Programmable Metasurfaces.” Advanced Science (Weinheim, Baden-Wurttemberg, Germany) 11, no. 41 (November 2024): e2406878. https://doi.org/10.1002/advs.202406878.

Li, W., H. Barati Sedeh, D. Tsvetkov, W. J. Padilla, S. Ren, J. Malof, and N. M. Litchinitser. “Machine Learning for Engineering Meta-Atoms with Tailored Multipolar Resonances.” Laser and Photonics Reviews 18, no. 7 (July 1, 2024). https://doi.org/10.1002/lpor.202300855.

Schulz, S. A., R. F. Oulton, M. Kenney, A. Alù, I. Staude, A. Bashiri, Z. Fedorova, et al. “Roadmap on photonic metasurfaces.” Applied Physics Letters 124, no. 26 (June 24, 2024). https://doi.org/10.1063/5.0204694.

Rozman, N., K. Fan, and W. J. Padilla. “Symmetry-Broken High-Q Terahertz Quasi-Bound States in the Continuum.” ACS Photonics 11, no. 5 (May 15, 2024): 1893–1900. https://doi.org/10.1021/acsphotonics.3c01848.

Peng, Rixi, Simiao Ren, Jordan Malof, and Willie J. Padilla. “Transfer learning for metamaterial design and simulation.” Nanophotonics (Berlin, Germany) 13, no. 13 (May 2024): 2323–34. https://doi.org/10.1515/nanoph-2023-0691.

Padilla, Willie J., Yang Deng, Omar Khatib, and Vahid Tarokh. “Fundamental absorption bandwidth to thickness limit for transparent homogeneous layers.” Nanophotonics (Berlin, Germany) 13, no. 9 (April 2024): 1623–29. https://doi.org/10.1515/nanoph-2023-0920.

Ma, H., A. B. Evlyukhin, A. E. Miroshnichenko, F. Zhu, S. Duan, J. Wu, C. Zhang, et al. “Extremely Thin Perfect Absorber by Generalized Multipole Bianisotropic Effect.” Advanced Optical Materials 12, no. 7 (March 5, 2024). https://doi.org/10.1002/adom.202301968.

Gu, D., J. Smith, A. Whitney, O. Khatib, N. Rozman, A. Gregg, W. Padilla, W. Deal, and S. C. Reising. “Characterization of Microwave Blackbody with Monostatic Measurement.” In International Geoscience and Remote Sensing Symposium (IGARSS), 6263–67, 2024. https://doi.org/10.1109/IGARSS53475.2024.10641062.

Padilla, W., N. Rozman, Y. Deng, R. Peng, and J. Malof. “Deep Learning for Novel Infrared, Millimeter wave, and Terahertz Metamaterials.” In International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, 2024. https://doi.org/10.1109/IRMMW-THz60956.2024.10697668.

Im, S., E. Frey, D. H. Kim, S. Y. Heo, Y. M. Song, M. H. Vong, S. Jamalzadegan, et al. “Tunable Infrared Emissivity Using Laser-Sintered Liquid Metal Nanoparticle Films.” Advanced Functional Materials, January 1, 2024. https://doi.org/10.1002/adfm.202422453.

Leitenstorfer, A., A. S. Moskalenko, T. Kampfrath, J. Kono, E. Castro-Camus, K. Peng, N. Qureshi, et al. “The 2023 terahertz science and technology roadmap.” Journal of Physics D: Applied Physics 56, no. 22 (June 1, 2023). https://doi.org/10.1088/1361-6463/acbe4c.

Huang, L., L. Xu, D. A. Powell, W. J. Padilla, and A. E. Miroshnichenko. “Resonant leaky modes in all-dielectric metasystems: Fundamentals and applications.” Physics Reports 1008 (April 5, 2023): 1–66. https://doi.org/10.1016/j.physrep.2023.01.001.

Padilla, W. J., and K. Fan. “Transparent phase dielectric metasurfaces.” In All-Dielectric Nanophotonics, 287–328, 2023. https://doi.org/10.1016/B978-0-32-395195-1.00015-6.

Khatib, O., S. Ren, J. Malof, and W. J. Padilla. “Informed Deep Learning in Metamaterials.” In 2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023, 2023. https://doi.org/10.23919/ACES57841.2023.10114734.

Li, W., H. B. Sedeh, W. J. Padilla, J. Malof, and N. M. Litchinitser. “Mie Resonance-based Meta-atom Design with Machine Learning Method.” In 2023 Conference on Lasers and Electro-Optics, CLEO 2023, 2023.

Li, W., H. B. Sedeh, W. J. Padilla, J. Malof, and N. M. Litchinitser. “Multipolar Resonance Engineering Using Machine Learning.” In International Conference on Metamaterials, Photonic Crystals and Plasmonics, 1175, 2023.

Malof, J. M., S. Ren, and W. J. Padilla. “Forward and Inverse Design of Artificial Electromagnetic Materials.” In Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning, 345–70, 2023. https://doi.org/10.1002/9781119853923.ch11.

Fan, K., J. Q. Yang, Y. C. Xu, J. Wu, C. Zhang, D. C. Zhan, B. Jin, and W. J. Padilla. “Normalization flows for designing metasurfaces.” In International Conference on Metamaterials, Photonic Crystals and Plasmonics, 1170–71, 2023.

Li, W., H. B. Sedeh, W. J. Padilla, J. Malof, and N. M. Litchinitser. “Mie Resonance-based Meta-atom Design with Machine Learning Method.” In CLEO: Science and Innovations, CLEO:S and I 2023, 2023. https://doi.org/10.1364/CLEO_AT.2023.SW4P.5.

Deng, Y., S. Ren, J. Malof, and W. J. Padilla. “Deep inverse photonic design: A tutorial.” Photonics and Nanostructures - Fundamentals and Applications 52 (December 1, 2022). https://doi.org/10.1016/j.photonics.2022.101070.

Staude, I., H. Chen, A. Miroshnichenko, J. Takahara, and W. J. Padilla. “Metasurfaces for photonic devices.” Journal of Applied Physics 132, no. 19 (November 21, 2022). https://doi.org/10.1063/5.0131810.

Fan, Kebin, Richard D. Averitt, and Willie J. Padilla. “Active and tunable nanophotonic metamaterials.” Nanophotonics (Berlin, Germany) 11, no. 17 (September 2022): 3769–3803. https://doi.org/10.1515/nanoph-2022-0188.

Fan, K., V. Stenger, and W. J. Padilla. “Pyroelectric metamaterial millimeter-wave detector.” Applied Physics Letters 121, no. 2 (July 11, 2022). https://doi.org/10.1063/5.0094201.

Khatib, O., S. Ren, J. Malof, and W. J. Padilla. “Learning the Physics of All-Dielectric Metamaterials with Deep Lorentz Neural Networks.” Advanced Optical Materials 10, no. 13 (July 1, 2022). https://doi.org/10.1002/adom.202200097.