DScribe: Library of descriptors for machine learning in materials science
- DOI
- 10.1016/j.cpc.2019.106949
- Published
- 2020-02
- Container
- Computer Physics Communications
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.cpc.2019.106949,
title = {DScribe: Library of descriptors for machine learning in materials science},
author = {Lauri Himanen and Marc O.J. Jäger and Eiaki V. Morooka and Filippo Federici Canova and Yashasvi S. Ranawat and David Z. Gao and Patrick Rinke and Adam S. Foster},
year = {2020},
journal = {Computer Physics Communications},
doi = {10.1016/j.cpc.2019.106949},
url = {https://doi.org/10.1016/j.cpc.2019.106949}
}RIS
TY - JOUR TI - DScribe: Library of descriptors for machine learning in materials science AU - Lauri Himanen AU - Marc O.J. Jäger AU - Eiaki V. Morooka AU - Filippo Federici Canova AU - Yashasvi S. Ranawat AU - David Z. Gao AU - Patrick Rinke AU - Adam S. Foster PY - 2020 JO - Computer Physics Communications DO - 10.1016/j.cpc.2019.106949 UR - https://doi.org/10.1016/j.cpc.2019.106949 ER -
APA
Himanen, L., Jäger, M. O., Morooka, E. V., Canova, F. F., Ranawat, Y. S., Gao, D. Z., Rinke, P., & Foster, A. S. (2020). DScribe: Library of descriptors for machine learning in materials science. Computer Physics Communications. https://doi.org/10.1016/j.cpc.2019.106949
Source records
- crossref · retrieved 2026-09-25T07:13:48.615Z