Multidisciplinary and Interdisciplinary (M) | ||
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Session Sub-category | General Geosciences, Information Geosciences & Simulations(GI) | |
Session ID | M-GI29 | |
Title | Computational sciences on the universe, galaxies, stars, planets and their environments | |
Short Title | Computational universe and planets | |
Main Convener | Name | Wataru Ohfuchi |
Affiliation | Kobe University | |
Co-Convener 1 | Name | Junichiro Makino |
Affiliation | Kobe University | |
Co-Convener 2 | Name | Masanori Kameyama |
Affiliation | Geodynamics Research Center, Ehime University | |
Co-Convener 3 | Name | Hideyuki Hotta |
Affiliation | Nagoya University | |
Session Language |
J |
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Scope |
Computer simulations have played critical roles in elucidating and understanding the planetary formation and evolution, planetary surface environments and their diversity, the solar and stellar dynamics, and the structure formation and evolution of the universe. While computer performance has increased by seven orders of magnitude over the past 30 years, this has not necessarily improved simulation outcomes. In this session, we aim to explore how to exploit these improvements in computing performance to the quantitative and qualitative advancement of space, planet, and earth sciences with the current "Fugaku" and the coming post "Fugaku" computers. We invite presentations from theoretical, observational, numerical simulation and AI studies and will hold a session for comprehensive discussions on the future direction of the fields. We welcome cross-disciplinary participation from all fields of the Japan Geoscience Union, not limited to space, planet, and earth science. |
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Presentation Format | Oral and Poster presentation |
Time | Presentation No | Title | Presenter |
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Oral Presentation May 29 AM1 | |||
09:00 - 09:15 | MGI29-01 | Program for Promoting Researches on the Supercomputer Fugaku "Structure and Evolution of the Universe Unraveled by Fusion of Simulation and AI"; Results and Future Plans | Ken Ohsuga |
09:15 - 09:30 | MGI29-02 | Sunspot fine structure simulated with large-scale numerical calculation | Hideyuki Hotta |
09:30 - 09:45 | MGI29-03 | A high-order transport scheme on the cubed sphere using radial basis functions | Koji Ogasawara |
09:45 - 10:00 | MGI29-04 | Anelastic thermal convection in a rapidly rotating spherical shell and surface banded structures of the Jovian planets | Youhei SASAKI |
10:00 - 10:15 | MGI29-05 | Dust monomer interactions explored by molecular dynamics simulations | Yuki Yoshida |
10:15 - 10:30 | MGI29-06 | On the development of a spherical harmonic transform library and its application to the study of atmospheric dynamics | Keiichi Ishioka |
Oral Presentation May 29 PM1 | |||
13:45 - 14:00 | MGI29-07 | Dust growth simulation using direct numerical simulation of turbulence | Takashi Ishihara |
14:00 - 14:15 | MGI29-08 | Development of a global atmospheric dynamical core using discontinuous Galerkin method: Introduction to a turbulent model and validation experiment | Yuta Kawai |
14:15 - 14:30 | MGI29-09 | Attempts for direct solution of flow fields of 3-D mantle convection on coarse grids | Masanori Kameyama |
14:30 - 14:45 | MGI29-10 | Post-Fugaku Feasibility Study and Computational Astrophysics and Planetary Science | Junichiro Makino |
Presentation No | Title | Presenter |
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Poster Presentation May 29 PM3 | ||
MGI29-P01 | Plate motion in a three-dimensional spherical shell mantle convection model with stress history-dependent viscosity | Takehiro Miyagoshi |
MGI29-P02 | Planetesimal accretion in planetesimal rings | Yuki Kambara |
MGI29-P03 | The Equation of State Dependence of Simulations of the Formation of Proto-Uranian Disks by Giant Impacts | keiya murashima |
MGI29-P04 | A numerical calculation of coupled magmatism-mantle convection system on the supercomputer "Fugaku". | Kenyo U |
MGI29-P05 | Global N-body simulation of planetary formation: Outward migration of protoplanets through Planetesimal-Driven Migration | Tenri Jinno |
MGI29-P06 | Exploring Potential Predictors of Solar Energetic Particles and Solar Flares Using Statistical Causal Discovery | Yuta Kato |