QSPR predicting the vapor pressure of pesticides into high/low volatility classes

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dc.contributor.authorPablo R. Duchowicz
dc.contributor.authorSilvina E. Fioressi
dc.contributor.authorDaniel E. Bacelo
dc.contributor.authorAlexander Q. Quispe
dc.contributor.authorEbbe L. Yapu
dc.contributor.authorHeriberto Castañeta
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:24:28Z
dc.date.available2026-03-22T14:24:28Z
dc.date.issued2023
dc.descriptionCitaciones: 5
dc.identifier.doi10.1007/s11356-023-31235-8
dc.identifier.urihttps://doi.org/10.1007/s11356-023-31235-8
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/46333
dc.language.isoen
dc.publisherSpringer Science+Business Media
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.sourceInstituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
dc.subjectVolatility (finance)
dc.subjectQuantitative structure–activity relationship
dc.subjectVapor pressure
dc.subjectMolecular descriptor
dc.subjectPesticide
dc.subjectChemistry
dc.subjectBiological system
dc.subjectData mining
dc.subjectComputer science
dc.titleQSPR predicting the vapor pressure of pesticides into high/low volatility classes
dc.typearticle

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