A5078680459- Meteorological Phenomena and Simulations
- Molecular spectroscopy and chirality
- Computational Drug Discovery Methods
- Astro and Planetary Science
- Material Dynamics and Properties
- Atmospheric and Environmental Gas Dynamics
- Neural dynamics and brain function
- Climate variability and models
- Advanced Memory and Neural Computing
- Geological and Geochemical Analysis
- Planetary Science and Exploration
- Neural Networks and Reservoir Computing
Meiji University
2022-2023
Samples collected from the surface/subsurface of C-type asteroid 162,173 Ryugu by Hayabusa2 mission were nondestructively analyzed in three dimensions (3D). Seventy-three small particles (approximately 10–180 µm size) observed using X-ray nanotomography, with an effective spatial resolution approximately 200 nm. Detailed descriptions these samples terms mineralogy, petrology, and variations among reported. The 57 most common consisted a phyllosilicate matrix containing mineral grains, mainly...
The hypothesis that predictability depends on the atmospheric state in planetary-scale low-frequency variability boreal winter was examined.We first computed six typical weather patterns from 500-hPa geopotential height anomalies Northern Hemisphere using self-organizing map (SOM) and k-clustering analysis. Next, 11 models subseasonal-to-seasonal (S2S) operational reforecast archive, we each model’s climatology as a function of lead time to evaluate model bias. Although forecast...
In this work, we give a characterization of the reservoir computer (RC) by network structure, especially probability distribution random coupling constants. First, based on path integral method, clarify universal behavior dynamics in thermodynamic limit, which depends only asymptotic second cumulant generating functions This result enables us to classify networks into several universality classes, according function constants chosen for networks. Interestingly, it is revealed that such...
Abstract The hypothesis that predictability depends on the atmospheric state in planetary-scale low-frequency variability boreal winter was examined. We first computed six typical weather patterns from 500-hPa geopotential height anomalies Northern Hemisphere using self-organizing map (SOM) and k -clustering analysis. Next, 11 models subseasonal-to-seasonal (S2S) operational reforecast archive, we each model’s climatology as a function of lead time to evaluate model bias. Although forecast...
Abstract Physicists have established a general approach for explaining the phase transition behavior using order parameters in phenomenological theories. Order are generally accounted by single molecular properties mean-field Such theories build on physicists’ hypotheses, which validated agreement between observed and predicted values, such as theoretical estimation of temperatures. In this study, we report chemical-data-driven methods finding scrutinizing physical assumptions based. We...