Researchers propose source mask optimization technique in computational lithography

Recently, researchers from the Shanghai Institute of Optics and Fine Mechanics (SIOM) of the Chinese Academy of Sciences have proposed a source mask optimization (SMO) technique using the covariance matrix adaptation evolution strategy (CMA-ES) and a novel source representation method.