The development of integrated circuit materials faces challenges such as complex mechanisms, numerous elemental components, and difficulties in multi-process compatibility, creating an increasing demand for novel research paradigms. The Integrated Circuit Materials Genome Technology system represents an innovative and efficient research framework that accelerates material development by establishing the "composition-structure-property-performance" relationship for integrated circuit materials.

1. In the area of artificial intelligence, we research on integrated circuit material large model, intelligent body, end-to-end constitutive relationship modeling, AI accelerated computation and other technologies, to improve the speed of material design, reduce the experimental consumables and the actual cost;

2. In terms of material computational simulation, we research on cross-scale computational methods, development of materials microstructure to macroscopic properties of the intrinsic correlation coupling technology, the establishment of integrated circuit material model library. In terms of database, research on literature and computational and experimental data efficient mining technology, the establishment of integrated circuit materials multi-source database, the construction of materials design artificial intelligence model;

3. In terms of high-throughput experiments, we study the full wafer high-throughput thin film deposition technology, establish high-throughput process regulation of multiple doping components, microstructure and stack structure methods.