Tatsuya Yokoi

Nagoya University

Japan

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Articles (20)

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2025

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2021

Collaborators (7)

Shuto Asano

National Institute of Advanced Industrial Science and Technology

JAPAN

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Xin Liu

Associate Professor

Nagoya University

JAPAN

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Yusuke Noda

Associate Professor

Okayama University

JAPAN

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Atsutomo Nakamura

Professor

Osaka University

JAPAN

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Masato Yoshiya

Professor

Osaka University

JAPAN

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Yutaka Ohno

Tohoku University

JAPAN

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YAN LI

Assistant Professor

Osaka University

JAPAN

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Tatsuya Yokoi

Research Interests

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Articles (20)

Origin of reduced thermal conduction by native point defects in PbTe: Perturbed molecular dynamics with neural network potential

Phase Transition of MnN2 Associated with N2 Dimer Alignment under High Pressure and High Temperature

Transferability of machine-learning interatomic potential to α-Fe nanocrystalline deformation

Spectrophotometric analyses on electronic structures of glide dislocation cores in ZnS

Atomic-structure changes of 30∘ partial-dislocation cores due to excess carriers in GaP

Multicrystalline informatics: a methodology to advance materials science by unraveling complex phenomena

Multicrystalline Informatics Applied to Multicrystalline Silicon for Unraveling the Microscopic Root Cause of Dislocation Generation

Machine learning interatomic potential with DFT accuracy for general grain boundaries in α-Fe

Artificial-neural-network descriptor enhancing accuracy of machine-learning interatomic potential and its application to lattice defects in Si

Revealing Atomic Structure of Hybrid Octacalcium-Phosphate Derivative

Anharmonicity in grain boundary energy for Al: Thermodynamic integration with artificial-neural-network potential

Grain-boundary thermodynamics with artificial-neural-network potential: Its ability to predict the atomic structures, energetics, and lattice vibrational properties for Al

Atomic and electronic structure of grain boundaries in a-Al2O3: A combination of machine learning, first-principles calculation and electron microscopy

Atomic structures of grain boundaries for Si and Ge: A simulated annealing method with artificial-neural-network interatomic potentials

Atomic structures and stability of finite-size extended interstitial defects in silicon: Large-scale molecular simulations with a neural-network potential

First-Principles Analysis of the Oxide-Ion Conduction Mechanism in Si-Deficient Lanthanum Silicate Apatite

Accurate prediction of grain boundary structures and energetics in CdTe: a machine-learning potential approach

Preferential Growth Mode of Large-Sized Vacancy Clusters in Silicon: A Neural-Network Potential and First-Principles Study

Stable and metastable structures and their energetics of asymmetric tilt grain boundaries in MgO: a simulated annealing approach

Grain-size dependence and anisotropy of nanoscale thermal transport in MgO

Collaborators (7)

Shuto Asano

Xin Liu

Yusuke Noda

Atsutomo Nakamura

Masato Yoshiya

Yutaka Ohno

YAN LI

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