How to design efficient, unconditionally stable, and structure-preserving numerical algorithms, as well as how to achieve deep integration with machine learning, have become research hotspots in the field of scientific computing and applied mathematics. The center will focus on innovative application exploration in the following core scenarios: computational fluid dynamics applications, topological optimization applications, computational solid mechanics applications, core algorithms and theories of scientific computing, and cross-research between scientific computing and deep learning.