Most traditional single image deblurring methods before deep learning adopt a coarse-to-fine scheme that estimates sharp at coarse scale and progressively refines it finer scales. While this has also been adopted in several learning-based approaches, recently number of single-scale approaches have introduced showing superior performance to previous terms quality computation time. In paper, we r...

High-permeance, molecular-sieving, nanoporous single-layer graphene (NSLG) membranes are highly promising for gas separation. However, the formation of cracks during transfer NSLG to a low-cost porous support is difficult avoid. These detrimental selectivity, and therefore, make scale-up gas-sieving challenging. To mitigate crack on macroporous supports, herein, we demonstrate mechanical reinfo...

Superconducting nanowires have emerged as a powerful tool for detecting single photons in the visible and near-infrared range with excellent device performance metrics. We outline challenges future directions related to up-scaling of nanowire devices detector systems toward widespread applications demanding real-world settings. Progress on achieving superconducting single-photon detectors large...