Members

Mikito Furuichi

Group Leader [Principal Researcher]
Japan Agency for Marine-Earth Science and Technology
Center for Mathematical Science and Advanced Technology

3173-25, Showa-machi, Kanazawa-ku, Yokohama-city, Kanagawa, 236-0001, Japan
m-furuic _at_jamstec.go.jp Researchmap

2004.4 - 2014.3	Research Scientist, Japan Agency for Marine-Earth Science and Technology
2009.4 - 2010.3	Visiting Research Scientist, GFD, Institute of Geophysics, ETH Zurich
2014.4 - Present	Senior Scientist, Japan Agency for Marine-Earth Science and Technology
2017.4 - present	Visiting Associate Professor, Kobe University Graduate School
2019.4 - present	Group Leader of Computational Science and Engineering Group

2001.4 - 2004.3

PhD in Physics, Sophia University

Virtual earthquakes in a numerical granular rock box simulation: We investigate the role of granular processes in the sequence of events from structural evolution to earthquake occurrence within fault zones through numerical simulations based on the Discrete Element Method (DEM), customized for rock elements, i.e., numerical rock box simulation. By utilizing our large-scale particle-based calculation code, DEPTH (DEM-based Parallel multi-pHysics Simulator), which implements a dynamic load-balancing algorithm, we can compute the collective motion of over billion elements via high-performance computing. This allows us to resolve large-scale geological deformations, spanning from small scales of less than 10 meters to geological spatial scales of over 10 kilometers, at seismological time scales of less than milliseconds. This new numerical model has the potential to seamlessly reproduce the structural evolution at geological scales, as well as seismological precursors, faulting mechanisms, and post-seismic processes, which have previously been studied separately, within the framework of granular physics.

Numerical simulation scheme: I'm developing a numerical scheme regarding a study of solid earth, especially for mantle dynamics simulation. Currently I'm working on a solution technique for a Stokes flow problem with a high viscosity jump and moving boundary treatment.

Scientific Visualization: Visualization is important for understating the complex dynamics/structure reproduced by 3D simulation data. I am interested in computer graphics techniques of scientific visualizations and rendering method for a photorealistic quality. I am also interested in techniques of co-processing visualization which produce visualization results during a product run to deal with large-size data resulting from the recent parallel computer technology.

ORCID