Simulation of Complex Environmental Systems
The Multi-Scenario Simulator & Simulation Complex Systems
Driven by computational science and IT techonologies, we challenge complex problems related to human and enviroments with adavaced simulations.
- OKUDA Hiroshi
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.
- Advancement of parallel finite element analysis system FrontISTR and its industrial applications
- Development of mathematical method for multiphysics problems including coupling with particle method
- Optimization for next-generation computer system
- Enhancement of computing efficiency by AI utilization
- CHEN Yu
Our research fields range from social-economic, fluid, to biological systems. There are four research directions:
- Multi-agent evolutionary games for modeling and simulations of macro-economy and financial markets;
- Discrete kinetic models for the simulation of complex fluids;
- Cellular automata and heterogeneous agent models for the simulation of biological organizations;
- Agent-based modeling and simulations of technological and social transitions.
- MATSUNAGA Takuya
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.