activity
20242026
most citedInverse Design in Nanophotonics via Representation Learning

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Neural Operator-enabled Topology-informed Evolutionary Strategy for PDE-Constrained Optimization

Xiangming Huang, Guannan Zhang, Lu Lu +1

The inverse design of physical systems governed by partial differential equations is computationally demanding due to the high dimensionality and non-convexity of design spaces. Ge…

cs.CV2026

VLM-Aware Meta-Optic Front-End Design for Frozen Vision-Language Models

Chanik Kang, Raphaël Pestourie, Haejun Chung

Conventional machine-vision pipelines typically rely on high-quality optics that produce clean, human-interpretable images, and optical design has therefore been driven by image-le…

cs.CE2026

Interpretable Meta-Learning for Multi-Objective Chemical Search

Antonio Varagnolo, Yulia Pimonova, Michael G. Taylor +2

Navigating the vast space of synthetically accessible molecules demands surrogate models that are interpretable and capable of handling multiple competing objectives at the same ti…

physics.comp-ph2025

Physics Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation

Antonio Varagnolo, Giuseppe Romano, Raphaël Pestourie

Designing materials with controlled heat flow at the nano-scale is central to advances in microelectronics, thermoelectrics, and energy-conversion technologies. At these scales, ph…

physics.app-ph2025★ 1 cited

Inverse Design in Nanophotonics via Representation Learning

Reza Marzban, Ali Adibi, Raphael Pestourie

Inverse design in nanophotonics, the computational discovery of structures achieving targeted electromagnetic (EM) responses, has become a key tool for recent optical advances. Tra…

physics.optics2025

HiLAB: A Hybrid Inverse-Design Framework

Reza Marzban, Hamed Abiri, Raphael Pestourie +1

HiLAB (Hybrid inverse-design with Latent-space learning, Adjoint-based partial optimizations, and Bayesian optimization) is a new paradigm for inverse design of nanophotonic struct…

physics.app-ph2025★ 1 cited

Fast approximate solvers for metamaterials design in electromagnetism

Raphael Pestourie

In electromagnetism, the model of Maxwell's equations yields accurate and trustworthy predictions. Numerical solvers can reach electromagnetic solutions far beyond the set of analy…

physics.app-ph2024

A New Homogenization-Free Boundary Condition Towards Aperiodic Metasurface Design Using Full-Wave Surrogate Models of Printed Circuits

Jordan Budhu, Raphael Pestourie

A new homogenization-free boundary condition is introduced for the design of metasurfaces. The boundary condition, linking the tangential electric field to the induced surface curr…