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PreprintLicence not statedChemRxiv

Where machine learning for enantioselectivity on polysaccharide chiral stationary phases actually fails: a leave-one-paper-out reappraisal of 10,525 enantiomer pairs

  • Lang Cui1,2
  1. 1Faculty of Science
  2. 2Kunming University of Science and Technology
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@misc{cui2026where,
  title = {{Where machine learning for enantioselectivity on polysaccharide chiral stationary phases actually fails: a leave-one-paper-out reappraisal of 10,525 enantiomer pairs}},
  author = {Lang Cui},
  howpublished = {ChemRxiv},
  year = {2026},
  month = nov,
  doi = {10.26434/chemrxiv.15011705/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011705/v1},
}
RIS
TY  - UNPB
TI  - Where machine learning for enantioselectivity on polysaccharide chiral stationary phases actually fails: a leave-one-paper-out reappraisal of 10,525 enantiomer pairs
AU  - Lang Cui
PY  - 2026
DA  - 2026/11/04
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15011705/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011705/v1
ER  -