A level-set plus adjoint-state optimization framework, implemented in the NeuralMag micromagnetic solver, designs magnonic devices such as a frequency-selective YIG demultiplexer with constant memory cost.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.other 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Inverse-design topology optimization of magnonic devices using level-set method
A level-set plus adjoint-state optimization framework, implemented in the NeuralMag micromagnetic solver, designs magnonic devices such as a frequency-selective YIG demultiplexer with constant memory cost.