Assessment of Solubility Behavior of a Copolymer in Supercritical CO₂ and Organic Solvents: Neural Network Prediction and Statistical Analysis.

ABSTRACT: In the industrial sector, understanding the behavior of block copolymers in supercritical solvents is crucial. While qualitative agreement with polymer solubility curves has been evaluated using complex theoretical models in many cases, quantitative predictions remain challenging. This study aimed to create a rapid and accurate artificial neural network (ANN) model to predict the lower critical solubility and upper critical solubility space of an atypical block copolymer, poly(styrene-co-octafluoropentyl methacrylate) (PSOM), in different supercritical solvent systems over a wide range of temperatures (51.75-182.05 °C) and high pressure (3.28-200.86 MPa). The experimental data set used in this study included one copolymer, five supercritical solvents, one cosolvent, and one initiato

SUBMITTER: Baskaran D 

PROVIDER: S-EPMC11447862 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature