Author

Souta Miyamoto

Observed name: Miyamoto, Souta

Institution: Kyoto University

Observed institution: Kyoto University

ORCID: 0009-0008-5873-0010

Observed ORCID: 0009-0008-5873-0010

OpenAlex ID: A5068303878

Rheo-SINDy: Finding a constitutive model from rheological data for complex fluids using sparse identification for nonlinear dynamics

2024 · Takeshi Sato, Souta Miyamoto, et al. · Journal of Rheology · 15

Explainable artificial intelligence for chemical process informatics: Energy-efficient design of styrene monomer production

2025 · Sora Mimura, Taichi Masuda, et al. · Chemical Engineering Journal Advances · 8

Improving DFT-predicted band gaps by symbolic regression for semiconductor materials discovery

2025 · Takahiro Kono, Souta Miyamoto, et al. · Computational Materials Science · 5

Short Review on Machine Learning-Based Multi-Scale Simulation in Rheology

2024 · Souta Miyamoto · Nihon Reoroji Gakkaishi · 4

Stretch-orientation-induced reduction of friction in well-entangled bidisperse blends: a dual slip-link simulation study

2022 · Souta Miyamoto, Takeshi Sato, et al. · Rheologica Acta · 4

Multiscale simulations for viscoelastic fluids with approximate constitutive models derived by a sparse identification method

2025 · Takeshi Sato, Souta Miyamoto · Rheologica Acta · 3

Decision-aware multi-objective discovery of Cu2O-based photovoltaic materials integrating supply risk, stability, and bandgap engineering

2026 · Takahiro Kono, Souta Miyamoto, et al. · Journal of Applied Physics · 1

Machine-Learning Based Multi-Scale Simulation for Polymer Melt Spinning Process

2023 · Yan Xu, Souta Miyamoto, et al. · Nihon Reoroji Gakkaishi · 1

PSE-RepairBench: A simulator-grounded benchmark for evaluating large language model-based setpoint correction in executable chemical process flowsheets

2026 · Takahara, Wataru, Suganuma, Ryu, et al. · Zenodo (CERN European Organization for Nuclear Research)

Orientational origin of nonlinear shear rheology in unentangled polymer melts

2026 · Miyamoto, Souta, Sato, Takeshi, et al. · arXiv (Cornell University)

Polymer viscoelasticity from an orientational closure with implicit stretch

2026 · Miyamoto, Souta, Sato, Takeshi, et al. · arXiv (Cornell University)

A deviatoric-stress closure for constitutive modeling of viscoelastic dynamics

2026 · Miyamoto, Souta, Moro, Shotaro, et al. · arXiv (Cornell University)

2026 · Tokuyama, Kazuaki, Miyamoto, Souta, et al. · AIP Publishing

Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset

2026 · Masuda, Taichi, Miyamoto, Souta, et al. · AIP Publishing

screening_results_100GPa.csv

2026 · Tokuyama, Kazuaki, Miyamoto, Souta, et al. · AIP Publishing

screening_results_300GPa.csv

2026 · Tokuyama, Kazuaki, Miyamoto, Souta, et al. · AIP Publishing

Composition-based machine learning for screening superconducting ternary hydrides from a curated dataset

2026 · Kazuaki Tokuyama, Souta Miyamoto, et al. · APL Machine Learning

Supplemental Material

2026 · Tokuyama, Kazuaki, Miyamoto, Souta, et al. · AIP Publishing

screening_results_200GPa.csv

2026 · Tokuyama, Kazuaki, Miyamoto, Souta, et al. · AIP Publishing

Development of Rheological Constitutive Modeling Method Using a Sparse Identiﬁcation Algorithm: A Case Study for Extensional Flows

2026 · Takeshi Sato, Souta Miyamoto, et al. · Nihon Reoroji Gakkaishi

Defect Cluster Evolution under Primary Cascade Damage in TiVTaW High-Entropy Alloy and Its Constituent Elements Investigated by Molecular Dynamics Simulations

2026 · Yuji Harada, Souta Miyamoto, et al. · MATERIALS TRANSACTIONS

Workflow of Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset

2025 · Tokuyama, Kazuaki, Miyamoto, Souta, et al. · Zenodo (CERN European Organization for Nuclear Research)

Workflow of Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset

2025 · Tokuyama, Kazuaki, Miyamoto, Souta, et al. · Zenodo (CERN European Organization for Nuclear Research)

Works count: 25

Citation count: 41

H-index: 4

I10-index: 1