Prediction of Metal-Organic Frameworks with Phase Transition via Machine Learning.

Karsakov GV, Shirobokov VP, Kulakova A, Milichko VA

DOI: 10.1021/acs.jpclett.3c03639
Published: 2024 Mar 21
Container: The journal of physical chemistry letters
Publisher: Not recorded
Open access: unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1021/acs.jpclett.3c03639,
  title = {Prediction of Metal-Organic Frameworks with Phase Transition via Machine Learning.},
  author = {Karsakov GV and Shirobokov VP and Kulakova A and Milichko VA},
  year = {2024},
  journal = {The journal of physical chemistry letters},
  doi = {10.1021/acs.jpclett.3c03639},
  url = {https://doi.org/10.1021/acs.jpclett.3c03639}
}

RIS

TY  - JOUR
TI  - Prediction of Metal-Organic Frameworks with Phase Transition via Machine Learning.
AU  - Karsakov GV
AU  - Shirobokov VP
AU  - Kulakova A
AU  - Milichko VA
PY  - 2024
JO  - The journal of physical chemistry letters
DO  - 10.1021/acs.jpclett.3c03639
UR  - https://doi.org/10.1021/acs.jpclett.3c03639
ER  -

APA

GV, K., VP, S., A, K., & VA, M. (2024). Prediction of Metal-Organic Frameworks with Phase Transition via Machine Learning.. The journal of physical chemistry letters. https://doi.org/10.1021/acs.jpclett.3c03639

Source records

pubmed · retrieved 2026-09-26T15:52:40.812Z