Towards predicting the solubility of CO2 and N2 in different polymers using a quasi-SMILES based QSPR approach

SAR and QSAR in Environmental Research

Volumn 27, Issue 4, 2016, Pages 293-301

  Toropov, A A ^a   Toropova, A P ^a   Begum, S ^b   Achary, P G R ^b  

^a MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

^b SIKSHA O ANUSANDHAN DEEMED TO BE UNIVERSITY   (India)

Author keywords

polymeric foams; quantitative structure property relationship (QSPR); quasi SMILES; Solubility

Indexed keywords

CALIBRATION; CARBON DIOXIDE; FORECASTING; POLYPROPYLENES; POLYVINYL ACETATES;

CALIBRATION AND VALIDATIONS; POLY (BUTYLENES SUCCINATE); POLYBUTYLENE SUCCINATE; POLYMERIC FOAMS; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP MODELS; QUANTITATIVE STRUCTURE–PROPERTY RELATIONSHIP; QUASI-SMILES; TEMPERATURE AND PRESSURES; TRAINING SETS;

SOLUBILITY;

BIONOLE; BUTANEDIOL; CARBON DIOXIDE; NITROGEN; POLYETHYLENE; POLYMER; POLYPROPYLENE; POLYSTYRENE DERIVATIVE; POLYVINYL ACETATE; POLYVINYL DERIVATIVE;

CHEMISTRY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SOLUBILITY;

BUTYLENE GLYCOLS; CARBON DIOXIDE; NITROGEN; POLYETHYLENE; POLYMERS; POLYPROPYLENES; POLYSTYRENES; POLYVINYLS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SOLUBILITY;

EID: 84964440202     PISSN: 1062936X     EISSN: 1029046X     Source Type: Journal    
DOI: 10.1080/1062936X.2016.1172666     Document Type: Article

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