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Ryo Yokoyama

University of Tokyo

Yayoi 1-1-1

Bunkyo-ku

Tokyo, 113-8657

Japan

SCHOLARLY PAPERS

9

DOWNLOADS

369

TOTAL CITATIONS

1

Scholarly Papers (9)

1.

Fluid-Multi Rigid Body Simulation with Phase Change Based on Implicit-Moving Particle Hydrodynamics-Passively Moving Solid (Mph-Pms)

Number of pages: 48 Posted: 20 Feb 2025
University of Tokyo, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Tokyo, University of Tokyo and University of Tokyo
Downloads 77 (823,616)

Abstract:

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Computational Fluid Dynamics, Particle Method, Implicit Algorithm, Fluid Structure Interaction, Phase Change

2.

A Novel Fully Explicit Gpu-Accelerated Discrete Element Method Coupled with Moving Particle Hydrodynamics (Dem-Mph) for Simulating the Underwater Particle Sedimentation Behavior

Number of pages: 41 Posted: 24 Aug 2024
Ryo Yokoyama, Yihua Xu, Shuichiro Miwa and Koji Okamoto
University of Tokyo, affiliation not provided to SSRN, University of Tokyo and University of Tokyo
Downloads 58 (980,173)
Citation 1

Abstract:

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Computational Fluid Dynamics, Particle Method, Discrete Element Method, Parallel Computation, Debris bed, Core Disruptive Accident

3.

Critical Heat Flux Prediction Using Interpretable AI: Accuracy and Engineering Insights

Number of pages: 57 Posted: 25 Sep 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Tokyo, University of Tokyo and University of Tokyo
Downloads 45 (1,121,190)

Abstract:

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Critical heat flux, Artificial Intelligence, Interpretability

4.

Determination of Spearman's Rank Correlation for Melt Spreading-Solidification Dynamics Through the Combination of Integrated Experiments and Monte Carlo Method

Number of pages: 32 Posted: 28 Nov 2024
University of Tokyo, University of Tokyo, University of Tokyo and University of Tokyo
Downloads 45 (1,121,190)

Abstract:

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Melt spreading, solidification, Heat transfer, Monte Carlo, Spearman's Ranking correlation

5.

Bingham Flow Model Based on the Mph-I Method Reproducing the Flow of Geopolymer Paste

Number of pages: 14 Posted: 07 Aug 2024
affiliation not provided to SSRN, University of Tokyo, University of Tokyo and University of Tokyo
Downloads 41 (1,196,171)

Abstract:

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geopolymer paste, Bingham fluid, numerical simulation, particle methods, high viscosity, inverse estimation, implicit calculation, MPH, SPH, MPS, free surface flow, rheology measurement

6.

Evaluation of the Applicability of Multiple Pool Scrubbing Models to Water-cooled and Sodium-Cooled Fast Reactors

Number of pages: 21 Posted: 28 Nov 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Tokyo, University of South China, affiliation not provided to SSRN and Harbin Engineering University
Downloads 38 (1,209,354)

Abstract:

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Sodium-cooled fast reactor, Severe accident, Aerosol, Pool scrubbing model

7.

Sand-Flow Model Based on the Moving Particle Hydrodynamics (Mph) Method for Incompressible Flows

Number of pages: 11 Posted: 23 Jul 2024
affiliation not provided to SSRN, University of Tokyo, University of Tokyo and University of Tokyo
Downloads 30 (1,318,317)

Abstract:

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Bingham fluid, Mohr-Coulomb criterion, Angle of repose, sand, Particle methods, Implicit algorithm

8.

Experimental Study on 3D Large-Scale Debris Bed Formation Using Sub-Millimeter Particles for Core Catcher Design Optimization

Number of pages: 28 Posted: 16 Feb 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Tokyo, University of Tokyo and University of Tokyo
Downloads 23 (1,411,822)

Abstract:

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Severe accident, Debris Bed, Core Disruptive Accident, Sodium Fast Reactor, Core Catcher

9.

Discretized Momentum Equation-Constrained Physics-Informed Graph Neural Networks for Meshfree Simulation of Highly Viscous Free-Surface Flows

Number of pages: 47 Posted: 26 May 2026
University of Tokyo, affiliation not provided to SSRN, University of Tokyo, University of Tokyo - The University of Tokyo and University of Tokyo
Downloads 12 (1,526,714)

Abstract:

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Particle method, Deep Learning, Graph Neural Networks, Physics Informed Neural Networks, Machine Learning, Computational Fluid Dynamics