Machine learning (ML) has found wide application in materials science. It is believed that a model developed by ML could depict the common trend of the data and therefore reflect the relationship between structure and property, which can be applied to most of the compounds. So, by training ML models with existed databases, important properties…

Electromagnetic and optical nonlinear effects provide an important platform in a broad spectrum of technologies, including high harmonic generation, sum and difference frequency conversions, self-focusing, optical solitons, and multi-photon absorption. When illuminated by high light intensity, the material properties are modified depending on the applied electromagnetic field amplitudes, and the nonlinear process is greatly enhanced…