Satoru Tokuda

Associate Professor

Kyushu University

Japan

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About

Dr. Satoru Tokuda is an Associate Professor at Kyushu University, Japan. His research areas include plasma physics, Bayesian modeling, and the analysis of metallic glasses. Recent publications highlight his work on Gaussian process regression applications, phase-separated liquid dynamics, and predictive models in oncology. He is dedicated to advancing the understanding of complex systems through innovative statistical methods.

Articles (12)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2021

Collaborators (10)

Kotaro Yamasaki

Assistant Professor

Hiroshima University

JAPAN

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Yoichi Ando

Professor

University of Cologne

GERMANY

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Shigeru Inagaki

教授 / Professor

Kyoto University

JAPAN

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Peter Manz

University of Greifswald

GERMANY

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Yuichi Kawachi

Nagoya University

JAPAN

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Fumito Tani

Kyushu University

JAPAN

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KENTA GOTO

Assistant Professor

Kyushu University

JAPAN

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Kouji SEGAWA

Professor

Kyoto University

JAPAN

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Natsuhiko Yoshinaga

National Institute of Advanced Industrial Science and Technology

JAPAN

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Hiroyuki Arakawa

Associate professor

Kyushu University

JAPAN

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Satoru Tokuda

Research Interests

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About

Articles (12)

Equilibrium reconstruction of axisymmetric plasmas by combining Gaussian process regression and Markov chain Monte Carlo sampling

Inference of flow shear from reciprocating plasma potential measurements by means of Gaussian process regression

Chemical reaction in a liquid–liquid phase‐separated multiple droplet: Synchronization of color change dynamics with droplet movement

Frontispiece, Volume 3, Number 1, January 2024

Local structural modelling and local pair distribution function analysis for Zr–Pt metallic glass

Estimation of plasma parameter profiles and their derivatives from linear observations by using Gaussian processes

A novel approach to predict acute radiation dermatitis in patients with head and neck cancer using a model based on Bayesian probability

Bayesian modeling of pattern formation from one snapshot of pattern

Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data

Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling

Bayesian inference of ion velocity distribution function from laser-induced fluorescence spectra

Toward automated non-destructive diagnosis of chloride attack on concrete structures by near infrared spectroscopy

Collaborators (10)

Kotaro Yamasaki

Yoichi Ando

Shigeru Inagaki

Peter Manz

Yuichi Kawachi

Fumito Tani

KENTA GOTO

Kouji SEGAWA

Natsuhiko Yoshinaga

Hiroyuki Arakawa

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