activity
20202026
most citedDeep neural networks for the evaluation and design of photonic devices

549 citations · 558 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.str-el2026

Measurements of electronic band structure in CeCoGe by angle-resolved photoemission spectroscopy

Robert Prater, Mingkun Chen, Matthew Staab +7

We report a comprehensive study of the electronic structure of CeCoGe throughout the entire Brillouin zone in the non-magnetic regime using angle-resolved photoemission spectro…

cond-mat.mtrl-sci2025

Mesoscale variations of chemical and electronic landscape on the surface of Weyl semimetal CoSnS visualized by ARPES and XPS

Sudheer Anand Sreedhar, Matthew Staab, Mingkun Chen +14

The multiple crystalline terminations in magnetic Weyl semimetal CoSnS display distinct topological and trivial surface states, which have successfully been distinguish…

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-ph2020★ 1 cited

Design space reparameterization enforces hard geometric constraints in inverse-designed nanophotonic devices

Mingkun Chen, Jiaqi Jiang, Jonathan Fan

Inverse design algorithms are the basis for realizing high-performance, freeform nanophotonic devices. Current methods to enforce geometric constraints, such as practical fabricati…

eess.IV2020★ 549 cited

Deep neural networks for the evaluation and design of photonic devices

Jiaqi Jiang, Mingkun Chen, Jonathan A. Fan

The data sciences revolution is poised to transform the way photonic systems are simulated and designed. Photonics are in many ways an ideal substrate for machine learning: the obj…