activity
20182026
most citedHeuristic Recurrent Algorithms for Photonic Ising Machines

136 citations · 147 across the 8 of their papers we have counts for

collaborators

8 papers

physics.optics2026

A Differentiable Ray-Wave Framework for Hybrid Refractive-Diffractive System Modeling and Optimization

Jiazhou Cheng, Margaret Gao, Yixuan Shao +3

Hybrid optical systems combining refractive and diffractive optical responses have the potential to support new types of optical behavior, but they are difficult to model and optim…

physics.comp-ph2025

Accurate and scalable deep Maxwell solvers using multilevel iterative methods

Chenkai Mao, Jonathan A. Fan

Neural networks have promise as surrogate partial differential equation (PDE) solvers, but it remains a challenge to use these concepts to solve problems with high accuracy and sca…

physics.optics2025★ 3 cited

Near-field optical mode engineering-enabled freeform nonlocal metasurfaces

Zhongjun Jiang, Tianxiang Dai, Shuwei Guo +6

Nanophotonic technologies inherently rely on tailoring light-matter interactions through the excitation and interference of deeply confined optical resonances. However, existing co…

physics.optics2025

Shaping freeform nanophotonic devices with geometric neural parameterization

Tianxiang Dai, Yixuan Shao, Chenkai Mao +4

Nanophotonic freeform design has the potential to push the performance of optical components to new limits, but there remains a challenge to effectively perform optimization while…

physics.app-ph2025★ 1 cited

A multi-agentic framework for real-time, autonomous freeform metasurface design

Robert Lupoiu, Yixuan Shao, Tianxiang Dai +3

Innovation in nanophotonics currently relies on human experts who synergize specialized knowledge in photonics and coding with simulation and optimization algorithms, entailing des…

cs.LG2024★ 2 cited

Towards General Neural Surrogate Solvers with Specialized Neural Accelerators

Chenkai Mao, Robert Lupoiu, Tianxiang Dai +2

Surrogate neural network-based partial differential equation (PDE) solvers have the potential to solve PDEs in an accelerated manner, but they are largely limited to systems featur…

physics.app-ph2022★ 5 cited

WaveY-Net: Physics-augmented deep learning for high-speed electromagnetic simulation and optimization

Mingkun Chen, Robert Lupoiu, Chenkai Mao +4

The calculation of electromagnetic field distributions within structured media is central to the optimization and validation of photonic devices. We introduce WaveY-Net, a hybrid d…

physics.app-ph2018★ 136 cited

Heuristic Recurrent Algorithms for Photonic Ising Machines

Charles Roques-Carmes, Yichen Shen, Cristian Zanoci +10

The inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been m…