Neural network-based generative models have been actively investigated as an inverse design method for finding novel materials in a vast design space. However, the applicability of conventional ...
One of the challenges in material design is to rapidly develop new materials or improve the performance of materials by utilizing the data and knowledge of existing materials. Here, a rapid and ...
A recent trend confusing two quite different terms has had a huge negative impact on the yield, reliability, and manufacturability of DSM (deep-submicron) and subwavelength semiconductor designs. This ...