Raphaël Pestourie

According to our database, Raphaël Pestourie authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Physics-enhanced deep surrogates for partial differential equations.

Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

Nat. Mac. Intell., December, 2023

2022

Inverse-Designed Meta-Optics with Spectral-Spatial Engineered Response to Mimic Color Perception.

Chris Munley, Wenchao Ma, Johannes E. Fröch, Quentin A. A. Tanguy, Elyas Bayati, Karl F. Böhringer, Zin Lin, Raphaël Pestourie, Steven G. Johnson, Arka Majumdar

CoRR, 2022

Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport.

Lu Lu, Raphaël Pestourie, Steven G. Johnson, Giuseppe Romano

CoRR, 2022

2021

Physics-Informed Neural Networks with Hard Constraints for Inverse Design.

Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson

SIAM J. Sci. Comput., 2021

Physics-enhanced deep surrogates for PDEs.

Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

CoRR, 2021

Physics-informed neural networks with hard constraints for inverse design.

Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson

CoRR, 2021

2020

Active learning of deep surrogates for PDEs: Application to metasurface design.

Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson

CoRR, 2020