"Machine Learning Inter-Atomic Potentials Generation Driven by Active ..."

Ganesh Sivaraman et al. (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-09-18

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1910-10254
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1910-10254
Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Christian Holm, Marius Stan, Gábor Csányi, Chris J. Benmore, Álvaro Vázquez-Mayagoitia:
Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide. CoRR abs/1910.10254 (2019)

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