Nankai University

Jing-Jun Xu

Meng-Xin Ren

Wei Wu

Yue-Jian Jiao

Di Zhang

Guo-Quan Zhang

Fang Bo

Wei Cai

Xiao-Jie Wang

Jun-Jun Ma

Jia-Xin Chen

Jin-Chao Liu

The present application provides a lithium niobate having a p-type nanowire region or an n-type nanowire region and a method for preparing the same. The method includes heating and then cooling a multi-domain lithium niobate crystal to confine hydrogen ions of the multi-domain lithium niobate crystal in domain wall regions; and poling the multi-domain lithium niobate crystal that has been heated by applying a voltage, to reverse a direction of polarization of one or more domains of the multi-domain lithium niobate crystal. The lithium niobate includes a lithium niobate crystal and a p-type nanowire region or an n-type nanowire region located in the lithium niobate crystal and adjacent to a surface of the lithium niobate crystal. The present application also provides a method for converting the charge carrier type of the lithium niobate nanowire region.

Lithium niobate having p-type nanowire region or n-type nanowire region, method for preparing the same, and method for converting charge carrier type of nanowire region

A method for determining an optical constant of a material includes: acquiring ellipsometric parameters; obtaining a optical constant of the material corresponding to the ellipsometric parameters by a machine learning model; the machine learning model including a mapping relationship between the ellipsometric parameters and the material optical constant of the material corresponding to the ellipsometric parameters. The method uses the machine learning model to implement an automatic fitting of ellipsometric parameters. In the method, the optical constant of the material is calculated by a machine learning model, which no longer depends on the experiences of the experimenters, thereby reducing requirements for the operator, accelerating the fitting of the data curve when calculating the optical constants of the material and improving the operation efficiency.

Method and apparatus for determining optical constant of material, and method and apparatus for extending material database

A system for determining a second-order nonlinear susceptibility of a material includes a laser light source, a polarization modulator, a light collector, a polarization detector and a controller. The controller can obtain the second-order nonlinear susceptibility of the sample to be tested according to the test data. The system for determining the second-order nonlinear susceptibility of a material can directly test a material (block or film) with a thickness of hundreds of nanometers, and draw a second-order nonlinear susceptibility fitting curve of the material according to the test results of the optical system.

System and method for determining second order nonlinear susceptibility of material

Growing community of inventors

Tianjin, China

Jing-Jun Xu