Adjoint-based data assimilation for reconstruction of thermal convection in a highly viscous fluid from surface velocity and temperature snapshots
It is a general problem in geoscience to estimate the time-series of velocity and temperature
fields for a fluid based on limited observations, such as the flow velocity at the fluid surface …
fields for a fluid based on limited observations, such as the flow velocity at the fluid surface …
Exploration of nonlinear parallel heterogeneous reaction pathways through Bayesian variable selection
RX Oyanagi, T Kuwatani, T Omori - The European Physical Journal B, 2021 - Springer
Inversion is a key method for extracting nonlinear dynamics governed by heterogeneous
reaction that occur in parallel in the natural sciences. Therefore, in this study, we propose a …
reaction that occur in parallel in the natural sciences. Therefore, in this study, we propose a …
Bayesian inference of grain growth prediction via multi-phase-field models
We propose a Bayesian inference methodology to evaluate unobservable parameters
involved in multi-phase-field models to accurately predict the observed grain growth, such …
involved in multi-phase-field models to accurately predict the observed grain growth, such …
Bayesian modeling of the equation of state for liquid iron in Earth's outer core
T Matsumura, Y Kuwayama, K Ueki… - Journal of …, 2021 - Wiley Online Library
We use Bayesian modeling of the equation of state (EoS) to constrain the density (ρ) and P
wave velocity (VP) of liquid iron under conditions of Earth's outer core. Experiments at such …
wave velocity (VP) of liquid iron under conditions of Earth's outer core. Experiments at such …
Multiple kinetic parameterization in a reactive transport model using the exchange Monte Carlo method
Water–rock interaction in surface and subsurface environments occurs in complex
multicomponent systems and involves several reactions, including element transfer. Such …
multicomponent systems and involves several reactions, including element transfer. Such …
Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression
Uncovering the distribution of magnitudes and arrival times of aftershocks is a key to
comprehending the characteristics of earthquake sequences, which enables us to predict …
comprehending the characteristics of earthquake sequences, which enables us to predict …
[PDF][PDF] Adjoint-based marker-in-cell data assimilation for constraining thermal and flow processes from Lagrangian particle records
Geophysical problems often involve Lagrangian particles that follow surrounding flows and
record information about the system, such as the pressure and temperature path recorded in …
record information about the system, such as the pressure and temperature path recorded in …
Estimating regression errors without ground truth values
H Tiittanen, E Oikarinen, A Henelius… - arXiv preprint arXiv …, 2019 - arxiv.org
Regression analysis is a standard supervised machine learning method used to model an
outcome variable in terms of a set of predictor variables. In most real-world applications we …
outcome variable in terms of a set of predictor variables. In most real-world applications we …
岩石形成プロセス抽出のための可視化情報計測
桑谷立 - 可視化情報学会誌, 2020 - jstage.jst.go.jp
抄録 岩石形成に関する物理化学的過程 (プロセス) を抽出するためには, 計測・分析により対象から
最大限に定量的データを抽出するとともに, 得られたデータから定量的なモデリングを通じて本質的な …
最大限に定量的データを抽出するとともに, 得られたデータから定量的なモデリングを通じて本質的な …