Abstract:Sorption of pure CO2 and CH4 and CO2/CH4 binary gas mixtures in amorphous glassy Poly(2,6-dimethyl-1,4-phenylene) oxide (PPO) at 35 °C up to 1000 Torr was investigated. Sorption experiments were carried out using an approach that combines barometry with FTIR spectroscopy in the transmission mode to quantify the sorption of pure and mixed gases in polymers. The pressure range was chosen to prevent any variation of the glassy polymer density. The solubility within the polymer of the CO2 present in the gaseous bi… Show more
“…The dataset comprises 14 808 experimental or derived data points from 257 sources, 17,64–318 featuring 102 polymers and 79 solvents/gases, which together form 497 polymer–gas pairs. A total of 256 unique chemical compounds were considered, accounting for different repeating units of the same polymer, with 2462 unique conformers.…”
A twin convolutional neural network is proposed to predict the pressure and temperature-dependent sorption of gases, vapors, and supercritical fluids in amorphous polymers, using spatial electron density distribution. These distributions...
“…The dataset comprises 14 808 experimental or derived data points from 257 sources, 17,64–318 featuring 102 polymers and 79 solvents/gases, which together form 497 polymer–gas pairs. A total of 256 unique chemical compounds were considered, accounting for different repeating units of the same polymer, with 2462 unique conformers.…”
A twin convolutional neural network is proposed to predict the pressure and temperature-dependent sorption of gases, vapors, and supercritical fluids in amorphous polymers, using spatial electron density distribution. These distributions...
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