Tokuteru Uesugi

Associate Professor

Osaka University

Japan

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About

Tokuteru Uesugi is an Associate Professor at Osaka Prefecture University in Japan. His research primarily focuses on materials science, with recent publications examining the interactions of solute clusters in metals, machine learning applications in material processing, and alloy design. His work includes first-principles calculations and innovative techniques for predicting solid solubility in various metal alloys.

Articles (10)

Year:

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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2020

Year:

2020

Collaborators (4)

Masaki Tahara

Tokyo Institute of Technology

JAPAN

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Y. Takigawa

Osaka University

JAPAN

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Goro Miyamoto

Associate Professor

Tohoku University

JAPAN

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Masanori Enoki

Shimane University

JAPAN

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Tokuteru Uesugi

Research Interests

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Articles (10)

Interactions between Interstitial and Substitutional Elements of Solute Diatomic and Triatomic Clusters in <i>α</i>-Fe from First-principles Calculations

深層学習による回帰と不良品分類を両立するダクタイル鋳鉄管の鋳肌検査

Sublattice alloy design of high-strength steels: Application of clustering and nanoscale precipitation of interstitial and substitutional solutes

材料の種類を考慮した転移学習による破面分類

New dislocation dissociation accompanied by anti-phase shuffling in the α″ martensite phase of a Ti alloy

分位損失を用いた機械学習による黒鉛球状化処理におけるMg歩留まりの予測

Solute cluster-induced precipitation and resultant surface hardening during nitriding of Fe–Al–V alloys

Solute cluster-induced precipitation and resultant surface hardening during nitriding of Fe-Al-V alloys

Nano Clustering of Interstitial and Substitutional Solute Atoms in Steels

Prediction system for solid solubility limits of Ag-, Cu-, Al-, and Mg-based alloys using artificial neural networks and first-principles calculations

Collaborators (4)

Masaki Tahara

Y. Takigawa

Goro Miyamoto

Masanori Enoki

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Tokuteru Uesugi

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Interactions between Interstitial and Substitutional Elements of Solute Diatomic and Triatomic Clusters in &lt;i&gt;α&lt;/i&gt;-Fe from First-principles Calculations

深層学習による回帰と不良品分類を両立するダクタイル鋳鉄管の鋳肌検査

Sublattice alloy design of high-strength steels: Application of clustering and nanoscale precipitation of interstitial and substitutional solutes

材料の種類を考慮した転移学習による破面分類

New dislocation dissociation accompanied by anti-phase shuffling in the α″ martensite phase of a Ti alloy

分位損失を用いた機械学習による黒鉛球状化処理におけるMg歩留まりの予測

Solute cluster-induced precipitation and resultant surface hardening during nitriding of Fe–Al–V alloys

Solute cluster-induced precipitation and resultant surface hardening during nitriding of Fe-Al-V alloys

Nano Clustering of Interstitial and Substitutional Solute Atoms in Steels

Prediction system for solid solubility limits of Ag-, Cu-, Al-, and Mg-based alloys using artificial neural networks and first-principles calculations

Collaborators (4)

Masaki Tahara

Y. Takigawa

Goro Miyamoto

Masanori Enoki

Make your next move.

Interactions between Interstitial and Substitutional Elements of Solute Diatomic and Triatomic Clusters in <i>α</i>-Fe from First-principles Calculations