We introduce a novel approach of data-driven dimensionality reduction for solving high-dimensional optimization problems, including history matching. Objective-Sensitive parameterization the argument accounts corresponding change objective function value. The result is achieved via an extension conventional loss function, which only quantifies approximation error over realizations. This paper c...

Plasmonic lasers provide a paradigm-changing approach for the generation of coherent light at nanoscale. In addition to usual properties radiation, emission plasmonic can feature high sensitivity surrounding environment, which makes this technology attractive developing high-performance and highly-integrated sensing devices. Here, we investigate laser architecture based on high- <inline-formula...