Based on the mathematics of solid mechanics using the parallel finite element method and the technology of using supercomputers, cloud, and network, we will create practical industrial simulation and green innovation that are useful in a wide range of fields such as machinery, architecture, civil engineering, electronic and electricity. Aiming for this, we are conducting the following research.

1. Advancement of parallel finite element analysis system FrontISTR and its industrial applications
2. Development of mathematical method for multiphysics problems including coupling with particle method
3. Optimization for next-generation computer system
4. Enhancement of computing efficiency by AI utilization

Research theme of CSLab is “simulation of complex systems,” exploring diverse areas such as social-economics, complex fluids, and biological systems. Our four primary directions include:

1. Utilizing multi-agent cooperative evolutionary games for modeling and simulating financial markets, understanding agent decisions and their impact on market dynamics;
2. Employing discrete kinetic models to simulate complex fluids, providing microscopic-level insights into fluid dynamics;
3. Using cellular automata and heterogeneous stochastic agent models for simulating biological phenomena like cancer proliferation and aging;
4. Investigating agent-based modeling and simulations to analyze societal and technological transitions, focusing on how individual behaviors influence these significant shifts.

The objective is to deepen our understanding of complex systems and devise innovative solutions for societal challenges.

This laboratory carries out research on computational fluid dynamics using the particle method. The particle method is characterized by its meshfree calculation framework which enables us to numerically simulate fluid flows with complex gas-liquid interface behaviors. Since flows involving gas-liquid interfaces are ubiquitous in nature and industry, the particle method has been applied to the academic research and the industrial applications in a wide range of fields including automobiles, ships, chemical processes, and computer graphics. However, there are still many complex problems that cannot be solved with the current technology. We challenge the frontier of computational science by developing new computational algorithms, integrating finite element methods, and using advanced HPC environments, and aim to solve the problems faced by industry and society.