|
Simulation Science
|
Computer Simulation has been established
as a third methodology of scientific research
which complements the traditional experimental
and theoretical modes of enquiry. Natural
phenomena governed by complexity represent
a vast field of research which has remained
unexplored and uncultivated by conventional
theoretical approaches.
In accordance with the exponential growth
of the supercomputer and visualization technology,
computer simulation has also progressed exponentially
and it becomes almost possible to solve the
dynamical evolution of many individual observed
phenomena, which are highly nonlinear.
So far we have taken the approach
of solving
the mechanism of an individual
nonlinear
phenomenon, that is, to use the
computer
simulation as a solver. However,
we believe
that computer simulation has
a superior ability
far beyond this simple solving
role.
The theory and Computer Simulation
Center
of NIFS has undertaken a vast
and far-reaching
approach to explore the dynamic
evolutions
in open, non-equilibrium systems
mutually
interacting with environments
and to construct
the basis of a science of complexity
by understanding
specific complex phenomena and
extracting
underlying universal rules.
Research Strategy for Simulation
Science
We investigate self-organizing
phenomena
in any kinds of fusion and general
plasmas
in a comprehensive way and extract
universal
self-organizing properties of
complex plasmas.
In parallel, we pay attention
to typical
self-organizing phenomena in
non-fusion plasmas
and other fields where the governing
interacting
forces are fundamentally different.
Comparing
and examining the obtained properties,
we
create new ideas and concepts
of self-organization,
and feed them back to the fusion
plasma to
refine the universal self-organizing
properties.
Cultivating new complex phenomena and establishing the universal rules, we proceed to develop the Science of Complexity.
|
|