COSMO-RS: predict activity coefficients, logP, VLE from DFT data Software for Chemistry & Materials
Sac À Dos M Nero Man Cosmo | Furla CH
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COSMO-RS: predict activity coefficients, logP, VLE from DFT data Software for Chemistry & Materials
Quantumchemical Models - DDBST GmbH
Role of Computational Variables on the Performances of COSMO-SAC Model
Investigation of COSMO-SAC model for solubility and cocrystal formation of pharmaceutical compounds | Scientific Reports
COSMO-SAC-2013: Improved thermodynamic properties predictions - Software for Chemistry & Materials Software for Chemistry & Materials
Investigation of COSMO-SAC model for solubility and cocrystal formation of pharmaceutical compounds | Scientific Reports
COSMO-SAC-Phi invited lecture at EQUIFASE-2018 – LVPP
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Values of parameters in current COSMO-SAC model. | Download Table
COSMO-SAC model approach for deep eutectic solvent selection to extract quercetin from macela (A. satureioides) and experimental process optimization | SpringerLink
Comparison of vapor-liquid equilibrium predictions from COSMO-SAC [63],... | Download Scientific Diagram
COSMO-SAC-supported evaluation of natural deep eutectic solvents for the extraction of tea polyphenols and process optimization - ScienceDirect
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Comprehensive Assessment of COSMO-SAC Models for Predictions of Fluid-Phase Equilibria | Industrial & Engineering Chemistry Research
Values of the parameters in the COSMO-SAC model | Download Table
An Improvement to COSMO-SAC for Predicting Thermodynamic Properties | Industrial & Engineering Chemistry Research
Sac À Dos M Nero Man Cosmo | Furla CH
LVPP – The virtual laboratory for properties prediction
Polymers with COSMO-RS(-SAC) — COSMO-RS 2022.1 documentation
