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Departments: Department of Computational Science

Department of Systems ScienceDepartment of Information ScienceDepartment of Computational Science


Department of Computational Science Overview
In the Department of Computational Science, the student pursues the theories and methodologies related to the quest for science and technology based on a computational approach, and the theories and basic technologies of high-performance computation in support thereof. As a result, the program provides the student with an education and research experience in the technical foundation of ultra-high-speed, massively parallel systems; the basics of a computational approach, such as mathematical modeling, simulation, and visualization, and the application thereof; the understanding and clarification of natural events based on a computational approach; and the prediction of unknown phenomena and events, taking into consideration computational science industrial applications and societal contributions.

Research Groups

Fundamentals of Computational Science

The Fundamentals of Computational Science Program provides the student with an education and research experience in mathematical methodologies and massively parallel information processing, which serve as the foundation of computational science.


Basics of Computational Science

The Basics of Computational Science research group provides students with education and research opportunities in high performance computing technologies which are fundamental tools in science, technology, and industry. Specifically, numerical simulation techniques which preserve laws of physics and advanced parallel numerical algorithms are studied with mathematical approach. An enhancement of application software performance and utilization technology of supercomputers appropriate to future supercomputing environment is also provided. By these activities, the group aims at fostering future researchers and engineers who fulfill leadership roles in the high performance computing area.


Computational Intelligence

The Computational Intelligence research group provides the student with an education and research experience in infrastructure technology for acquiring useful “knowledge” from variegated or large-scale data from the natural world and utilizing that knowledge in the real world. Specifically, the group systematically provides the student with an education and research experience in artificial intelligence, machine learning, data mining, and the like, with an aim to have the student explore new perspectives and methodologies of computational science. At the same time, the group fosters researchers and engineers capable of widely contributing to an information society based on technologies for processing large-scale data and technologies for analyzing variegated data and extracting knowledge. Furthermore, we are studying value-added smart services that integrate various "things" and systems via network. To achieve the services, we collect and analyze large-scale data from actual world, and perform actions as feedback to the world.


Computational Fluid Dynamics

The aim of our group is to research simulation methods for complicated and complex fluid phenomena observed in the world of nature and industry. Special focuses are on the development of the massively parallel algorithms for the coupled partial differential equations and mathematical modeling of complicated physics. Through these technologies, our final goal is, by utilizing the state-of-the-art supercomputers, to solve mysteries of various fluid phenomena.


Simulation Techniques

The Simulation Techniques group provides the student with an education in the art of computer simulation and visualization. The group has developed an original spherical grid system, Yin-Yang grid, and an interactive, three-dimensional visualization software, VFIVE, for simulation data analysis. Although the main focus of the group's simulation research is on understanding of the so-called dynamo phenomena in magnetohydrodynamics (MHD) in the planets and stars, the group is interested in the broad spectrum of simulations and visualizations in general. The Yin-Yang grid is currently used in various fields in science; from mantle convection simulations to numerical weather predictions, and to supernova simulations. VFIVE is also used in several research institutes as a tool for data visualization. A simulation research generally requires techniques for simulation and techniques for visualization. In tandem with the development of high performance computers, the scale of computer simulations grows and the two kinds of techniques tend to be integrated into an art. The group’s mission is to develop various new tools for simulation research and to lead the development of the simulation art.



Innovation of Computational Science

The Innovation of Computational Science Program provides the student with an education and research experience in computational science and computational engineering, which are new scientific methodologies in the science and engineering field.


Computational Molecular Engineering

The Computational Chemistry research group provides the student with an education in the computational chemical treatment of molecules, molecular aggregates, and molecular surfaces, which are sources of energy problems, high-performance material, and substance conversion, from the perspectives of quantum chemistry and molecular simulation. The group cultivates knowledge related to basic computational techniques that use molecular orbital theory and molecular mechanics, and the application range of computational chemistry methods and appropriate computational techniques via application examples. Furthermore, the group provides an education in effective approximation theories and algorithms, fostering human resources having advanced software development skills suitable for high performance computations of leading-edge architecture.


Computational Biology

The Computational Biology research group provides the student with an education and research experience in simulation techniques for fundamentally describing and analyzing biological functions from the molecular level, based on leading-edge computational science and computational engineering techniques. Mainly, the group targets multi-scale descriptions of biological systems having multiple levels in terms of space and time from the bottom-up, using function analysis of protein and nucleic acid molecules based on computational techniques that have been verified and guaranteed in terms of accuracy and effectiveness, such as molecular dynamics and molecular orbital methods. The group fosters human resources capable of executing such approaches not only with in-house PCs and their clusters, but also with massively parallel machines and supercomputers.


Computational Robotics

Based on the powerful computational science, such as modeling and dynamic simulation, the computational robotics research group tries to clarify the advanced environmental adaptive motor functions of humans and animals and provides education and researches in the development of human friendly intelligent robots to support the health and safety of humans. Specifically, the group systematically studies on the research subjects of real-time recognition from vast sensory information, the nonlinear dynamics of hyper-redundant robots, and human-robot dynamic interaction as well as communication so as to establish new approaches of robotics research and development. The group tries to educate researchers and engineers contributing to the coming aged society, such as care and welfare.


Computational Space Science and Engineering

The Computational Space Science and Engineering research group provides the students with education and research experiences in large-scale computer simulations on scientific understanding and technical application regarding the space environment where the human beings can explore and utilize. The group mainly focuses on the interaction between space plasma and small bodies such as spacecraft, the moon, and asteroid by performing plasma particle simulations using a parallel processing type supercomputer. The group cultivates skills for programming dominant equations in the development and design of each field of science and technology based on optimum numerical analysis techniques and modeling, and for performing highly efficient large-scale computer simulations through the implementation and tuning of such programming



Advanced Computational Science (Collaborative Program : RIKEN)


Advanced Computational Science

The Advanced Computational Science research group provides the student with an education and research experience in simulation using the next generation supercomputers, with the aim of achieving comprehensive understanding of extremely complex life processes and making prediction possible through large-scale information processing. Specifically, the group fosters advanced specialists and researchers who will be leaders in the computational science fields through research in simulation techniques targeting the three scales of the human body (molecules, cells, and organs) and the information processing mechanisms of the cerebral nervous system, as well as through the development of technologies for deriving significant information from vast amounts of test data and analyzing the data for the rule establishment.



Applied Computational Science (Collaborative Program : Japan Agency for Marine-Earth Science and Technology)


Applied Computational Science

Simulation is an effective means for scientifically predicting the future, and is utilized in a wide variety of science and technology research fields, from natural science to engineering such as design. In this program, the student is provided with an education and research experience based on large-scale, practical subjects, such as the physical process of fluid system simulation, including climatologic and meteorology simulation, algorithms and predictions that incorporate such simulation, and discrete system simulation for the phenomena to which continuum approaches are difficult to be applied. In particular, the course actively provides the student with opportunities to learn and experience both fluid system and discrete system simulation algorithms and applications thereof, focusing on providing an education on topics of future science and technology research that cannot be completely covered in the basic programs of the Department of Computational Science.



Large-Scale Computational Science (Collaborative Program : RIKEN AICS)


Large-Scale Computational Science

Interdiciplinary reserach by both computational science and computer science is important and essential in conducting very large-scale computational simulations with maximal performance of the latest supercomputers. In this program, students are provided with education and research opportunities based on real-world simulation results obtained recently in computational science fields and technologies developed in computer science field as fundamental tools, by considering cooperative works of both fields. Specifically, the program fosters human resources leading interdiciplinary research fields and having advanced technology for high performace computing, by providing the cutting-edge results carried out on the K-computer.

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