most citedInverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning

37 citations · 37 across the 1 of their papers we have counts for

collaborators

2 papers

physics.comp-ph2021★ 37 cited

Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning

Sean Hooten, Raymond G. Beausoleil, Thomas Van Vaerenbergh

We present a proof-of-concept technique for the inverse design of electromagnetic devices motivated by the policy gradient method in reinforcement learning, named PHORCED (PHotonic…

physics.app-ph2018

Thermally tunable hybrid photonic architecture for nonlinear optical circuits

Marina Radulaski, Ranojoy Bose, Tho Tran +3

We develop a thermally tunable hybrid photonic platform comprising gallium arsenide (GaAs) photonic crystal cavities, silicon nitride (SiN) grating couplers and waveguides, and…