High-temperature phonon transport properties of SnSe from machine-learning interatomic potential

Journal of Physics Condensed Matter ◽

10.1088/1361-648x/ac13fd ◽

2021 ◽

Author(s):

Huan Liu ◽

Xin Qian ◽

Hua Bao ◽

Changying Zhao ◽

Xiaokun Gu

Keyword(s):

Machine Learning ◽

High Temperature ◽

Transport Properties ◽

Interatomic Potential ◽

Phonon Transport

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Machine-learning-based interatomic potential for phonon transport in perfect crystalline Si and crystalline Si with vacancies

Physical Review Materials ◽

10.1103/physrevmaterials.3.074603 ◽

2019 ◽

Vol 3 (7) ◽

Author(s):

Hasan Babaei ◽

Ruiqiang Guo ◽

Amirreza Hashemi ◽

Sangyeop Lee

Keyword(s):

Machine Learning ◽

Interatomic Potential ◽

Phonon Transport

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HIGH TEMPERATURE THERMAL CONDUCTIVITY OF SILICON FROM MACHINE-LEARNING-BASED INTERATOMIC POTENTIAL

10.1615/ihtc16.mpe.022399 ◽

2018 ◽

Author(s):

Xiaokun Gu ◽

Changying Zhao

Keyword(s):

Machine Learning ◽

Thermal Conductivity ◽

High Temperature ◽

Interatomic Potential

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Thermal conductivity and phonon transport properties of silicon using perturbation theory and the environment-dependent interatomic potential

Journal of Applied Physics ◽

10.1063/1.3195080 ◽

2009 ◽

Vol 106 (6) ◽

pp. 063532 ◽

Author(s):

José A. Pascual-Gutiérrez ◽

Jayathi Y. Murthy ◽

Raymond Viskanta

Keyword(s):

Thermal Conductivity ◽

Perturbation Theory ◽

Transport Properties ◽

Interatomic Potential ◽

Phonon Transport

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Implementation of artificial intelligence and support vector machine learning to estimate the drilling fluid density in high-pressure high-temperature wells

Energy Reports ◽

10.1016/j.egyr.2021.06.092 ◽

2021 ◽

Vol 7 ◽

pp. 4106-4113

Author(s):

Rahmad Syah ◽

Naeim Ahmadian ◽

Marischa Elveny ◽

S.M. Alizadeh ◽

Meysam Hosseini ◽

...

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Support Vector Machine ◽

High Pressure ◽

High Temperature ◽

Drilling Fluid ◽

Support Vector ◽

Fluid Density ◽

High Pressure High Temperature

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Crystallization of the P3Sn4 Phase upon Cooling P2Sn5 Liquid by Molecular Dynamics Simulation Using a Machine Learning Interatomic Potential

The Journal of Physical Chemistry C ◽

10.1021/acs.jpcc.0c08873 ◽

2021 ◽

Vol 125 (5) ◽

pp. 3127-3133

Author(s):

Chao Zhang ◽

Yang Sun ◽

Hai-Di Wang ◽

Feng Zhang ◽

Tong-Qi Wen ◽

...

Keyword(s):

Machine Learning ◽

Molecular Dynamics ◽

Molecular Dynamics Simulation ◽

Interatomic Potential ◽

Dynamics Simulation

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High temperature oxidation behavior of disordered (Ti0.5Zr0.5)2AlC MAX phase via a Machine Learning-Augmented DFT Approach

Materials Letters X ◽

10.1016/j.mlblux.2021.100062 ◽

2021 ◽

pp. 100062

Author(s):

P. Singh ◽

D. Sauceda ◽

R. Arroyave

Keyword(s):

Machine Learning ◽

High Temperature ◽

High Temperature Oxidation ◽

Oxidation Behavior ◽

Max Phase ◽

Temperature Oxidation ◽

High Temperature Oxidation Behavior

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Magnetic and phonon transport properties of two-dimensional room-temperature ferromagnet VSe2

Journal of Materials Science ◽

10.1007/s10853-021-06311-4 ◽

2021 ◽

Author(s):

Haohao Sheng ◽

Haoxiang Long ◽

Guanzhen Zou ◽

Dongmei Bai ◽

Junting Zhang ◽

...

Keyword(s):

Transport Properties ◽

Room Temperature ◽

Phonon Transport ◽

Two Dimensional

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Transport Properties of the High Temperature Phase of Fe3O4

Journal of the Physical Society of Japan ◽

10.1143/jpsj.64.2118 ◽

1995 ◽

Vol 64 (6) ◽

pp. 2118-2126 ◽

Author(s):

Sakae Todo ◽

Kiiti Siratori ◽

Shigeyuki Kimura

Keyword(s):

High Temperature ◽

Transport Properties ◽

High Temperature Phase ◽

Temperature Phase

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Machine learning interatomic potential for molten TiZrHfNb

10.1063/5.0032302 ◽

2020 ◽

Author(s):

I. A. Balyakin ◽

A. A. Rempel

Keyword(s):

Machine Learning ◽

Interatomic Potential

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Detection of Series Faults in High-Temperature Superconducting DC Power Cables Using Machine Learning

IEEE Transactions on Applied Superconductivity ◽

10.1109/tasc.2021.3055156 ◽

2021 ◽

pp. 1-1

Author(s):

Jeong Ho Choi ◽

Chanyeop Park ◽

Peter Cheetham ◽

Chul Han Kim ◽

Sastry Pamidi ◽

...

Keyword(s):

Machine Learning ◽

High Temperature ◽

Power Cables ◽

High Temperature Superconducting ◽

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