Masatake Yamaguchi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Masatake Yamaguchi has a total of 106 co-authors. Here are the top co-authors by number of shared publications:
Hideo Kaburaki
Center for Computational Science & e-Systems, Japan Atomic Energy Agency, 2-4 Shirakata-Shirane, Tokai-mura, Naka-gun, Ibaraki 319-1195, Japan
12 shared publications- Ken-Ichi Ebihara
Center for Computational Science & e-Systems, Japan Atomic Energy Agency (JAEA), Naka-gun, Japan
11 shared publications Mitsuhiro Itakura
10 shared publications- Tomoaki Suzudo
Center for Computational Science and e-Systems, Japan Atomic Energy Agency 1 , Tokai-mura, Ibaraki 319-1195, Japan
10 shared publications - Tomohito Tsuru
Japan Atomic Energy Agency
6 shared publications - Kazuyuki Shimizu
Tottori University
5 shared publications
Latest Publications
- 27 October 2026
- Published by Elsevier in Acta Materialia
- Vol. 322
First-principles calculations of hydrogen trapping energy at mixed, edge, and binary-junction dislocation cores in bcc iron
- 27 October 2026
- Published by Elsevier in Acta Materialia
- Vol. 322
First-principles calculations of hydrogen trapping energy at mixed, edge, and binary-junction dislocation cores in bcc iron
- Open Access
- 28 July 2026
- Published by Elsevier in SSRN Electronic Journal
First-Principles Calculations of Hydrogen Trapping Energy at Mixed, Edge, and Binary-Junction Dislocation Cores in Bcc Iron
To elucidate the mechanism of hydrogen embrittlement in steel, quantifying the interaction between hydrogen and lattice defects is essential. However, the hydrogen trapping energy at edge dislocation cores in ferromagnetic body-centered cubic (bcc) iron remains elusive, as the long-range elastic strain field surrounding the cores complicates accurate estimation via first-principles density functional theory (DFT) calculations with small computational cells. In this study, we overcame this limitation by combining DFT with a machine-learning neural network potential (NNP). First, we calculated the hydrogen trapping energy using DFT in a periodic boundary cell containing two oppositely signed dislocation cores, with a cell size of up to approximately 400 atoms. After verifying that the NNP can reasonably reproduce the DFT results, we performed NNP calculations with enlarged cell sizes to quantify the long-range elastic strain interactions between dislocation cores. Subtracting this elastic contribution from the DFT results successfully removed finite-cell-size effects. In addition to the a0/2[-1-11](-101) (a0: lattice constant) edge dislocation core addressed in our previous work, this study expanded the scope of analysis to a broader range of dislocation core structures: the a0/2[111](-101) 71° mixed, the a0/2[111](-1-12) edge, the a0[100](011) and the a0[100](010) binary-junction dislocation cores, as well as a single vacancy. The calculated trapping energies for specific dislocation cores and a single vacancy exhibit excellent agreement with the hydrogen desorption activation energies of the deepest trapping sites reported in recent low-temperature thermal desorption spectrometry on a heavily deformed pure iron subjected to 25% plastic strain.
- 28 July 2026
- Published by Elsevier in SSRN Electronic Journal
Open AccessFirst-Principles Calculations of Hydrogen Trapping Energy at Mixed, Edge, and Binary-Junction Dislocation Cores in Bcc Iron
To elucidate the mechanism of hydrogen embrittlement in steel, quantifying the interaction between hydrogen and lattice defects is essential. However, the hydrogen trapping energy at edge dislocation cores in ferromagnetic body-centered cubic (bcc) iron remains elusive, as the long-range elastic strain field surrounding the cores complicates accurate estimation via first-principles density functional theory (DFT) calculations with small computational cells. In this study, we overcame this limitation by combining DFT with a machine-learning neural network potential (NNP). First, we calculated the hydrogen trapping energy using DFT in a periodic boundary cell containing two oppositely signed dislocation cores, with a cell size of up to approximately 400 atoms. After verifying that the NNP can reasonably reproduce the DFT results, we performed NNP calculations with enlarged cell sizes to quantify the long-range elastic strain interactions between dislocation cores. Subtracting this elastic contribution from the DFT results successfully removed finite-cell-size effects. In addition to the a0/2[-1-11](-101) (a0: lattice constant) edge dislocation core addressed in our previous work, this study expanded the scope of analysis to a broader range of dislocation core structures: the a0/2[111](-101) 71° mixed, the a0/2[111](-1-12) edge, the a0[100](011) and the a0[100](010) binary-junction dislocation cores, as well as a single vacancy. The calculated trapping energies for specific dislocation cores and a single vacancy exhibit excellent agreement with the hydrogen desorption activation energies of the deepest trapping sites reported in recent low-temperature thermal desorption spectrometry on a heavily deformed pure iron subjected to 25% plastic strain.
- 19 July 2025
- Published by Elsevier in Scripta Materialia
- Vol. 268
First-principles calculations of hydrogen trapping energy at an edge dislocation core in iron
- 19 July 2025
- Published by Elsevier in Scripta Materialia
- Vol. 268
First-principles calculations of hydrogen trapping energy at an edge dislocation core in iron
- 1 May 2025
- Published by Elsevier in Scripta Materialia
- Vol. 265
Revisiting hydrogen trapping in Mg32(Al, Zn)49 approximant crystal: Influence of chemical disorder
- 1 May 2025
- Published by Elsevier in Scripta Materialia
- Vol. 265
Revisiting hydrogen trapping in Mg32(Al, Zn)49 approximant crystal: Influence of chemical disorder
- Open Access
- 18 February 2025
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 109, 1421-1436
Hydrogen embrittlement in Al–Zn–Mg alloys: Semispontaneous decohesion of precipitates
- 18 February 2025
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 109, 1421-1436
Open AccessHydrogen embrittlement in Al–Zn–Mg alloys: Semispontaneous decohesion of precipitates
- 10 September 2024
- Published by Elsevier in Scripta Materialia
- Vol. 255
Quantitative estimation method of the effect of segregated solute on hydrogen-enhanced decohesion at a grain boundary
- 10 September 2024
- Published by Elsevier in Scripta Materialia
- Vol. 255
Quantitative estimation method of the effect of segregated solute on hydrogen-enhanced decohesion at a grain boundary
- Open Access
- 14 August 2024
- Published by Elsevier in Acta Materialia
- Vol. 280
Effect of carbon segregation at prior austenite grain boundary on hydrogen-related crack propagation behavior in 3Mn-0.2C martensitic steels
- 14 August 2024
- Published by Elsevier in Acta Materialia
- Vol. 280
Open AccessEffect of carbon segregation at prior austenite grain boundary on hydrogen-related crack propagation behavior in 3Mn-0.2C martensitic steels
- Open Access
- 20 May 2024
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 136, 751-756
Numerical verification for the effect of suppressing hydrogen embrittlement by Sn doping in the Al–Zn–Mg alloy
- 20 May 2024
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 136, 751-756
Open AccessNumerical verification for the effect of suppressing hydrogen embrittlement by Sn doping in the Al–Zn–Mg alloy
- 11 November 2023
- Published by Elsevier in Computational Materials Science
- Vol. 232
The contribution of Cr and Ni to hydrogen absorption energy in Fe-Cr-Ni austenitic systems: A first-principles study
- 11 November 2023
- Published by Elsevier in Computational Materials Science
- Vol. 232
The contribution of Cr and Ni to hydrogen absorption energy in Fe-Cr-Ni austenitic systems: A first-principles study
- Open Access
- 1 November 2023
- Published by Japan Institute of Metals in MATERIALS TRANSACTIONS
- Vol. 64 (11) , 2553-2559
First-Principles Calculations of Hydrogen Trapping Energy on Incoherent Interfaces of Aluminum Alloys
We attempted to calculate the hydrogen trapping energies at the incoherent interfaces of MgZn2 precipitates and Mg2Si crystallites in aluminum alloys from first-principles calculations. Since the unit cell containing the incoherent interface does not satisfy the periodic boundary condition, resulting in a discontinuity of crystal blocks, the hydrogen trapping energy was calculated in a region far from the discontinuity (vacuum) region. We found considerable trapping energies for hydrogen atoms at the incoherent interfaces consisting of assumed atomistic arrangement. We also conducted preliminary calculations of the reduction in the cohesive energy by hydrogen trapping on the incoherent interfaces of Mg2Si in the aluminum matrix.
- 1 November 2023
- Published by Japan Institute of Metals in MATERIALS TRANSACTIONS
- Vol. 64 (11) , 2553-2559
Open AccessFirst-Principles Calculations of Hydrogen Trapping Energy on Incoherent Interfaces of Aluminum Alloys
We attempted to calculate the hydrogen trapping energies at the incoherent interfaces of MgZn2 precipitates and Mg2Si crystallites in aluminum alloys from first-principles calculations. Since the unit cell containing the incoherent interface does not satisfy the periodic boundary condition, resulting in a discontinuity of crystal blocks, the hydrogen trapping energy was calculated in a region far from the discontinuity (vacuum) region. We found considerable trapping energies for hydrogen atoms at the incoherent interfaces consisting of assumed atomistic arrangement. We also conducted preliminary calculations of the reduction in the cohesive energy by hydrogen trapping on the incoherent interfaces of Mg2Si in the aluminum matrix.