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

2019 ◽  
Vol 3 (7) ◽  
Author(s):  
Hasan Babaei ◽  
Ruiqiang Guo ◽  
Amirreza Hashemi ◽  
Sangyeop Lee
Keyword(s):  
Machine Learning ◽  
Interatomic Potential ◽  
Phonon Transport

Machine learning interatomic potential developed for molecular simulations on thermal properties of β-Ga2O3

2020 ◽  
Vol 153 (14) ◽  
pp. 144501 ◽  
Author(s):  
Yuan-Bin Liu ◽  
Jia-Yue Yang ◽  
Gong-Ming Xin ◽  
Lin-Hua Liu ◽  
Gábor Csányi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Thermal Properties ◽  
Interatomic Potential ◽  
Molecular Simulations

scholarly journals Insights into the primary radiation damage of silicon by a machine learning interatomic potential

2020 ◽  
Vol 8 (10) ◽  
pp. 364-372 ◽  
Author(s):  
A. Hamedani ◽  
J. Byggmästar ◽  
F. Djurabekova ◽  
G. Alahyarizadeh ◽  
R. Ghaderi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Radiation Damage ◽  
Interatomic Potential ◽  
Primary Radiation

scholarly journals Primary radiation damage in silicon from the viewpoint of a machine learning interatomic potential

2021 ◽  
Vol 5 (11) ◽  
Author(s):  
A. Hamedani ◽  
J. Byggmästar ◽  
F. Djurabekova ◽  
G. Alahyarizadeh ◽  
R. Ghaderi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Radiation Damage ◽  
Interatomic Potential ◽  
Primary Radiation

scholarly journals Mechanism of amorphous phase stabilization in ultrathin films of monoatomic phase change material

Nanoscale ◽  
2021 ◽  
Author(s):  
Daniele Dragoni ◽  
Jörg Behler ◽  
Marco Bernasconi
Keyword(s):  
Machine Learning ◽  
Phase Change ◽  
Ultrathin Films ◽  
Large Scale ◽  
Interatomic Potential ◽  
Atomistic Simulations ◽  
Machine Learning Method ◽  
Learning Method ◽  
Phase Stabilization ◽  
Change Material

Large scale atomistic simulations with an interatomic potential generated by a machine learning method have been exploited to study the crystallization of Sb in ultrathin films.

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