most citedInverse deep learning methods and benchmarks for artificial electromagnetic material design

2 citations · 2 across the 1 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2021★ 2 cited

Inverse deep learning methods and benchmarks for artificial electromagnetic material design

Simiao Ren, Ashwin Mahendra, Omar Khatib +3

Deep learning (DL) inverse techniques have increased the speed of artificial electromagnetic material (AEM) design and improved the quality of resulting devices. Many DL inverse te…