Using the Gini coefficient to characterize the shape of computational chemistry error distributions
Crossref DOI link: https://doi.org/10.1007/s00214-021-02725-0
Published Online: 2021-02-15
Published Print: 2021-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pernot, Pascal http://orcid.org/0000-0001-8586-6222
Savin, Andreas
Text and Data Mining valid from 2021-02-15
Version of Record valid from 2021-02-15
Article History
Received: 17 December 2020
Accepted: 29 January 2021
First Online: 15 February 2021