Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

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

Ganesh Sivaraman et al. (2019)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-09-18

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-1910-10254
- ask others
- share record
  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)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.