東京大学大学院新領域創成科学研究科

PROSPECTUS

Department of Complexity Science and Engineering

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Department of Complexity Science and Engineering

The Department of Complexity Science and Engineering was established with the aim of investigating various problems related to complexity through an integrated approach, combining the science of complexity and the engineering of complexity, and training scientists and engineers who can create new paradigms of complexity science and engineering. We are now confronted with realities in which a variety of complex nonlinear phenomena, which are irreducible into simple rules, surely exist in both natural and artificial systems. Furthermore, through the emergence of new nonlinear concepts such as chaos and fractals, it is becoming obvious that dynamically and computationally complex systems, in which various nonlinear elements strongly interact with each other, are ubiquitous in this real world, and it is widely expected that understanding such complex systems can create new areas of science and technology for the 21st century.
Our department seeks to create new fields of complexity science and engineering by promoting collaboration of complexity research over multiple scales from the nano scale to the astrophysical scale. This effort is carried out in three modules-Brain, Astrobiology, and Extreme Matter-sharing the "Complexity Platform" based on theories and techniques of mathematics, information science, and visualization, which are common to all modules. This platform enables efficient research and human resource development, thus enhancing our ability to open new horizons in complexity science and engineering.

Complexity Platform

We are building up our department as a world-leading center for complexity science research through scale-independent pipeline processing of complex phenomena according to the three stages of simulation, analysis/coding, and learning, which are the keys to understanding complexity science.

Example of optimal viewpoint computation for visualization of proton/atomic collision phenomena

Example of visual cryptography design

Example of learning tasks

Brain Module

This module pursues brain research through theoretical and experimental approaches. The data from brain function analysis and the visualization techniques developed are stored up in our complexity platform for application to emerging and future technologies.

400-channel vector magnetoencephalography

Electroencephalography-based brain-computer interface

Extreme Matter Module

Matter under extreme conditions-ranging from solids at ultra-low temperatures to plasmas at ultra-high temperatures-s studied with the aim of understanding and applying complex phenomena from the nano scale to the astrophysical scale.

Modeling of solid surface's adsorption structure

Synthesis, structural determination, and characterization of novel materials

Spherical tokamak capable of generating ultra-high temperature (several millions oC) plasmas

Astrobiology Module

The ultimate goal of this module is to answer the fundamental question: Is earth-like life unique to our planet or ubiquitous in the Universe? This module investigates a variety of research areas, such as the origin of life, early planetary evolution, and the interaction among the atmosphere, the hydrosphere, and the solid body of a planet.

The Himalayas, the most intense orogenic zone on the face of the earth

Comparison of crater formation in vacuum and air