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Machine Learning Inter-Atomic Potentials Generation Driven by Active
  Learning: A Case Study for Amorphous and Liquid Hafnium dioxide

Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide

22 October 2019
Ganesh Sivaraman
A. Krishnamoorthy
Matthias Baur
Christian Holm
M. Stan
Gábor Csányi
C. Benmore
Á. Vázquez-Mayagoitia
    AI4CE
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Papers citing "Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide"

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