49 citations · 49 across the 8 of their papers we have counts for
8 papers
Gradient-Informed Bayesian and Interior Point Optimization for Efficient Inverse Design in Nanophotonics
Yannik Mahlau, Yannick Augenstein, Tyler W. Hughes +2
Inverse design, particularly geometric shape optimization, provides a systematic approach for developing high-performance nanophotonic devices. While numerous optimization algorith…
Gradient-based optimization of scatterer arrangements based on the T-matrix method
Nigar Asadova, Jan David Fischbach, Renaud Vallée +6
The demand for inverse design is increasing as the ability to fabricate sub-10 nm features expands the design space by orders of magnitude. Efficient inverse design benefits from d…
A three-dimensional polarization-insensitive grating coupler tailored for 3D nanoprinting
Oliver Kuster, Yannick Augenstein, Carsten Rockstuhl +1
Efficiently coupling light from optical fibers into photonic integrated circuits is a key step toward practical photonic devices. While a notable coupling can be achieved by out of…
Multiphoton Quantum Interference at Ultracompact Inverse-Designed Multiport Beam Splitter
Shiang-Yu Huang, Shreya Kumar, Jeldrik Huster +3
Photonic quantum technologies enter a new phase when realized in photonic integrated circuits, leading to a great advance in practical applications. In the pursuit of high integrat…
Inverse Design of 3D Nanophotonic Devices with Structural Integrity Using Auxiliary Thermal Solvers
Oliver Kuster, Yannick Augenstein, Roberto Narváez Hernández +2
3D additive manufacturing enables the fabrication of nanophotonic structures with subwavelength features that control light across macroscopic scales. Gradient-based optimization o…
Inverse Design of Polaritonic Devices
Oliver Kuster, Yannick Augenstein, Carsten Rockstuhl +1
Polaritons, arising from the strong coupling between excitons and photons within microcavities, hold promise for optoelectronic and all-optical devices. They have found application…
Identifying regions of minimal back-scattering by a relativistically-moving sphere
Mitchell R. Whittam, Aristeidis G. Lamprianidis, Yannick Augenstein +1
The far-field back-scattering amplitude of an electric field from a relativistically-moving sphere is analyzed. Contrary to prior research, we do so by expressing the fields in the…
A neural operator-based surrogate solver for free-form electromagnetic inverse design
Yannick Augenstein, Taavi Repän, Carsten Rockstuhl
Neural operators have emerged as a powerful tool for solving partial differential equations in the context of scientific machine learning. Here, we implement and train a modified F…