PhD thesis: "Assume Your Neighbor is Your Equal: Inverse Design in Nanophotonics" Harvard University Library website.
Peer-reviewed journal articles: (* these authors contributed equally)
[17] W. Ma, R. Pestourie, et al. "Multiplicative resonant enhancement of chemical detection" Physical Review Applied, 2024 [DOI]
[16] R. Pestourie, et al. "Physics-enhanced deep surrogates for partial differential equations," Nature Machine Intelligence, 2023 [DOI] | Press: IEEE Spectrum, MIT News
[15] R. Pestourie, W. Yao, B. Kanté, and S.G. Johnson "Efficient Inverse Design of Large-Area Metasurfaces for Incoherent Light" ACS Photonics, 2022 [DOI]
[14] S. Fisher, R. Pestourie, and S.G. Johnson "Efficient perturbative framework for coupling of radiative and guided modes in nearly periodic surfaces," Physical Review A, 2022 [DOI] | Editors' Suggestion
[13] C. Munley, W. Ma, J. E. Fröch, Q. A. A. Tanguy, E. Bayati, K. F. Böhringer, Z. Lin, R. Pestourie, S.G. Johnson, and A. Majumdar "Inverse-Designed Meta-Optics with Spectral-Spatial Engineered Response to Mimic Color Perception," Advanced Optical Materials, 2022 [DOI]
[12] L. Lu, R. Pestourie, et al. "Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport," Physical Review Research, 2022 [DOI]
[11] Z. Li, R. Pestourie, et al. "Empowering Metasurfaces with Inverse Design: Principles and Applications," ACS Photonics, 2022 [DOI]
[10] Z. Li*, R. Pestourie*, et al. "Inverse design enables large-scale high-performance meta-optics reshaping virtual reality," Nature Communications, 2022 [DOI] | Press: Nature blog, Harvard SEAS News
[9] Z. Lin, R. Pestourie, et al. "End-to-end metasurface inverse design for single-shot multi-channel imaging," Optics Express, 2022 [DOI]
[8] E. Bayati*, R. Pestourie*, et al. "Inverse Designed Extended Depth of Focus Meta-Optics for Broadband Imaging in the Visible," Nanophotonics, 2021 [DOI]
[7] L. Lu, R. Pestourie, et al. "Physics-informed neural networks with hard constraints for inverse design," SIAM Journal on Scientific Computing, 2021 [DOI]
[6] Z. Lin, C. Roques-Carmes, R. Pestourie, et al.. "End-to-end nanophotonic inverse design for imaging and polarimetry," Nanophotonics, 2020 [DOI]
[5] R. Pestourie et al. "Active learning of deep surrogates for PDEs: Application to metasurface design," npj Computational Materials, 2020 [DOI] | Press: IBM blog | Code: [UQ360]
[4] E. Bayati*, R. Pestourie*, et al., “Inverse designed metalenses with extended depth of focus,” ACS Photonics, 2020 [DOI]
[3] Z. Lin, V. Liu, R. Pestourie, et al., “Topology optimization of freeform large-area metasurfaces,” Optics Express, 2019 [DOI]
[2] R. Pestourie, et al., “Inverse design of large-area metasurfaces,” Optics Express, 2018 [DOI]| Press: MIT News
[1] C. Pérez-Arancibia, R. Pestourie, and S.G. Johnson, “Sideways adiabaticity: Beyond ray optics for slowly varying metasurfaces,” Optics Express, 2018 [DOI]
Preprints under review:
[2] W. Ma, R. Pestourie, SG Johnson "Time-reversal-symmetry bounds on electromagnetic fields", 2025 [arXiv]
[1] R. Pestourie "Fast approximate solvers for metamaterials design in electromagnetism", 2025 [arXiv]
Patents:
[2] R. Pestourie, Y. Mroueh, C.V. Rackauckas, P. Das, and S.G. Johnson, 2022. Physics-enhanced deep surrogate. US Patent 17/982996
[1] R. Pestourie, Y. Mroueh, P. Das, S. G. Johnson "Active learning of data models for scaled optimization" US Patent 17/405318
Peer-reviewed conference proceedings:
[8] R. Pestourie, et al. "Towards optimal spatiotemporal wavefront shaping for the cocktail party problem with inverse design of an acoustic reconfigurable metasurface in disordered media" Metamaterials 2024 [arXiv]
[7] J. Budhu, R. Pestourie "A New Homogenization-Free Boundary Condition Towards Aperiodic Metasurface Design Using Full-Wave Surrogate Models of Printed Circuits," Metamaterials 2024 [arXiv]
[6] R. Pestourie, Z. Li, Y. Mroueh, P. Das, F. Capasso, and S. G. Johnson "Surrogate models and machine learning for large-scale meta-optics inverse design," 2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) (NEMO 2022) (July 2022)
[5] R. Pestourie, Y. Mroueh, C. V. Rackauckas, P. Das, S. G. Johnson "Data-Efficient Training with Physics-Enhanced Deep Surrogates," AAAI 2022 ADAM workshop (March 2022). [PDF]
[4] R. Pestourie, Z. Li, E. Bayati, J.-S. Park, Y.-W. Huang, S. Colburn, Z. Lin, A. Majumdar, F. Capasso, and S.G. Johnson "Extreme optics: inverse design and experimental realizations of ultra-large-area complex meta-optics," 15th International Congress on Artificial Materials for Novel Wave Phenomena - Metamaterials 2021
[3] R. Pestourie and S. G. Johnson "Opening the black box for data efficiency and inverse design in photonics," International Society for Optics and Photonics - Metamaterials, Metadevices, and Metasystems 2021
[2] R. Pestourie and S. G. Johnson "Complex design of metasurfaces," OSA Optical Design and Fabrication 2021 (Flat Optics, Freeform, IODC, OFT) (June 2021)
[1] R. Pestourie, G. Chomette, Y. Mroueh, P. Das, R. Radovitzky, and S. G. Johnson, "Active learning of deep surrogates for PDEs," ICLR 2021 SimDL Workshop (May 2021). [PDF]
Preprints:
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Selected videos of invited talks
Invited talk at Crunch seminar at Brown on May 24th 2024 Physics-enhanced deep surrogated for partial differential equations
Invited talk at SciMLCon on March 23rd 2022 Physics-enhanced deep surrogates trained end to end
Invited seminar at IBM on February 24th 2022 Scientific machine learning: from optics to deep surrogates
Invited seminar at MERL on February 8th 2022 Extreme optics design as a large-scale optimization problem
Invited seminar at IEEE Photonics Society (Boston) on May 13th 2021 Inverse design of complex meta-optics