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University of Tartu, Institute of Chemistry, Molecular Technology (Estonia)
QnSAR-s or QnSPR-s for nanostructures, nanoparticles or nanomaterials
10967/265
QDB Compounds
10967/265 - QDB Compounds
QsarDB Repository
Käärik, M.; Krjukova, N.; Maran, U.; Oja, M.; Piir, G.; Leis, J. Nanomaterial texture-based machine learning of ciprofloxacin adsorption on nanoporous carbon. Int. J. Mol. Sci. 2024, 25, 11696.
Compound
ID:
64
Name:
CDC-ZrC-1669
Description:
Labels:
CAS:
InChi Code:
Properties
Q: Adsorption capacity [mg/g]
Value
Source or prediction
319.5
experimental value
396.8
Eq1: Model for adsorption capacity (Training set)
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