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Benchmarking physics-inspired machine learning models for transition metal complexes with diverse charge and spin states — Europe PMC PMID:42111687

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42111687
DOI: 10.1039/d5dd00571j
License (as archived): solo-consultazione
Archived: 2026-10-07T22:41:38.316Z
SHA-256 of the archived text: 5274afcb978af3b636dc7c554813c3d0092a517012f9a892b73d75baa75390c0
Stable URL of this page: https://metraipolis.com/documento/dc_2f52836337fb

How to cite

Benchmarking physics-inspired machine learning models for transition metal complexes with diverse charge and spin states — Europe PMC PMID:42111687 — Europe PMC (en), https://europepmc.org/article/MED/42111687 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_2f52836337fb (Metraipolis archive dc_2f52836337fb, sha256 5274afcb978af3b636dc7c554813c3d0092a517012f9a892b73d75baa75390c0)

BibTeX

@misc{dc2f52836337fb,
  title = {Benchmarking physics-inspired machine learning models for transition metal complexes with diverse charge and spin states — Europe PMC PMID:42111687},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42111687},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_2f52836337fb; sha256 5274afcb978af3b636dc7c554813c3d0092a517012f9a892b73d75baa75390c0},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42111687. Agents can read the archived copy with the MCP tool read_document.