output
20112026
most citedClassification of volcanic ash particles using a convolutional neural network and probability

83 citations

8 papers

physics.geo-ph2026★ 1 cited

The Brittle-Plastic Transition in Quartz-Albite Mixtures: New Insights From Shear Deformation Experiments at Mid-to-Lower Crustal Depth Conditions

M. Furukawa, B. A. Verberne, S. Sawa +4

Crustal strength is often characterized using a strength-depth profile where laboratory-derived friction and flow laws are connected at depth (i.e., the so-called Christmas Tree di…

cs.LG2025

Optimal CO2 storage management considering safety constraints in multi-stakeholder multi-site CCS projects: a Markov game perspective

Jungang Chen, Seyyed A. Hosseini

Carbon capture and storage (CCS) projects typically involve a diverse array of stakeholders or players from public, private, and regulatory sectors, each with different objectives…

astro-ph.EP2023★ 6 cited

Heliocentric Distance Dependence of Zodiacal Light Observed by Hayabusa2#

Kohji Tsumura, Shuji Matsuura, Kei Sano +21

Zodiacal light (ZL) is sunlight scattered by interplanetary dust particles (IDPs) at optical wavelengths. The spatial distribution of IDPs in the Solar System may hold an important…

stat.AP2021★ 1 cited

Structured regularization based velocity structure estimation in local earthquake tomography for the adaptation to velocity discontinuities

Yohta Yamanaka, Sumito Kurata, Keisuke Yano +3

We propose a local earthquake tomography method that applies a structured regularization technique to determine sharp changes in Earth's seismic velocity structure using arrival ti…

physics.geo-ph2019★ 15 cited

Stochastic Modeling of 3-D Compositional Distribution in the Crust with Bayesian Inference and Application to Geoneutrino Observation in Japan

Nozomu Takeuchi, Kenta Ueki, Tsuyoshi Iizuka +7

Geoneutrino observations, first achieved by KamLAND in 2005 and followed by Borexino in 2010, have accumulated statistics and improved sensitivity for more than ten years. The unce…

physics.geo-ph2018★ 83 cited

Classification of volcanic ash particles using a convolutional neural network and probability

Daigo Shoji, Rina Noguchi, Shizuka Otsuki +1

Analyses of volcanic ash are typically performed either by qualitatively classifying ash particles by eye or by quantitatively parameterizing its shape and texture. While complex s…

astro-ph.EP2015

Interactive Evolution of Multiple Water-Ice Reservoirs on Mars: Insights from Hydrogen Isotope Compositions

Hiroyuki Kurokawa, Tomohiro Usui, Masahiko Sato

Remote sensing data from orbiter missions have proposed that ground ice may currently exist on Mars, although the volume is still uncertain. Recent analyses of Martian meteorites h…

cond-mat.soft2011★ 55 cited

Crossover from negative to positive shear rate dependence in granular friction

Osamu Kuwano, Ryosuke Ando, Takahiro Hatano

We conduct an experiment on the frictional properties of granular matter over a wide range of shear rate that covers both the quasistatic and the inertial regimes. We show that the…