315 citations · 884 across the 10 of their papers we have counts for
11 papers
Spatially Varying Nanophotonic Neural Networks
Kaixuan Wei, Xiao Li, Johannes Froech +5
The explosive growth of computation and energy cost of artificial intelligence has spurred strong interests in new computing modalities as potential alternatives to conventional el…
Fast Extended Depth of Focus Meta-Optics for Varifocal Functionality
James E. M. Whitehead, Alan Zhan, Shane Colburn +2
Extended depth of focus (EDOF) optics can enable lower complexity optical imaging systems when compared to active focusing solutions. With existing EDOF optics, however, it is diff…
Neural Nano-Optics for High-quality Thin Lens Imaging
Ethan Tseng, Shane Colburn, James Whitehead +4
Nano-optic imagers that modulate light at sub-wavelength scales could unlock unprecedented applications in diverse domains ranging from robotics to medicine. Although metasurface o…
Free-space optical neural network based on thermal atomic nonlinearity
Albert Ryou, James Whitehead, Maksym Zhelyeznyakov +4
As artificial neural networks (ANNs) continue to make strides in wide-ranging and diverse fields of technology, the search for more efficient hardware implementations beyond conven…
Non-volatile reconfigurable integrated photonics enabled by broadband low-loss phase change material
Zhuoran Fang, Jiajiu Zheng, Abhi Saxena +3
Phase change materials (PCMs) have long been used as a storage medium in rewritable compact disk and later in random access memory. In recent years, the integration of PCMs with na…
2D beam shaping via 1D spatial light modulation
James E. M. Whitehead, Albert Ryou, Shane Colburn +2
Many emerging reconfigurable optical systems are limited by routing complexity when producing dynamic, two-dimensional (2D) electric fields. Using a gradient-based inverse designed…