Spherical Metadensity Functional Learning for Inhomogeneous Classical Fluids
- DOI
- 10.1021/acs.jctc.6c01186
- Published
- 2026-09-06
- Container
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- 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:10.1021/acs.jctc.6c01186,
title = {Spherical Metadensity
Functional Learning for Inhomogeneous
Classical Fluids},
author = {Stefanie M. Kampa and Matthias Schmidt and Florian Sammüller},
year = {2026},
journal = {Journal of Chemical Theory
and Computation},
doi = {10.1021/acs.jctc.6c01186},
url = {https://doi.org/10.1021/acs.jctc.6c01186}
}RIS
TY - JOUR TI - Spherical Metadensity Functional Learning for Inhomogeneous Classical Fluids AU - Stefanie M. Kampa AU - Matthias Schmidt AU - Florian Sammüller PY - 2026 JO - Journal of Chemical Theory and Computation DO - 10.1021/acs.jctc.6c01186 UR - https://doi.org/10.1021/acs.jctc.6c01186 ER -
APA
Kampa, S. M., Schmidt, M., & Sammüller, F. (2026). Spherical Metadensity Functional Learning for Inhomogeneous Classical Fluids. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.6c01186
Source records
- crossref · retrieved 2026-11-03T11:45:26.554Z