Our technology uses GaN (gallium nitride)SiC (silicon carbide) wide band gap semiconductor materials to develop high radiation hardness semiconductor technologies for space applications. GaNSiC-based materials feature with a strong bondingsmall lattice constant. Furthermore, the displacement energy of GaNSiC-based materials is greater than 10 times that of silicon. Therefore, GaNSiC-based device can exhibit a better radiation hardness than the Si-based devices, indicating that GaNSiC-based electronics are promising for the space applications.

This technology uses deep learning technology to establish six automatic organ segmentation models for six organsa graphical user interface for doctors. The data is exchanged with the existing radiotherapy planning system by standard formats. Analysis of the dosimetric parameters of the 3D printed customized bolus demonstrated that it is provided good dose escalationgood contact with the irregular surface.

Combined the advanced synchrotron beamline with the in-situ processing technologiesthe diversified measurement systems, we provide a parametrizable AI platform for material manufacturing processes, microstructures,product performance.

A CMOS image sensor is developed for the national space organization (NSPO) 3rd generation high-resolution remote sensing satellite,the main achievement is its capability to satisfy the demanded ground resolution of 0.5 m. This CMOS image sensor with a new time delay integration circuit is implemented using Back-Side Illumination CIS 0.13 μm technology. The anti-radiation capability of the chip is also boosted to extend the lifetime of the chip. Measurement systemdata analysis programs are developed to provide performance parameters of the proposed CMOS image sensor.

Our technique combines the use of LOD2TMY3 datatake metropolitan area as the case study. We demonstrated that accurate rooftop solar power potential can be approached for solar power developing evaluation by importing solar irradiation, inclination, shadow covering information based on simulated but accurate building environment. Our technique enables a scientific approach for supporting future solar energy planningdevelopments.