Prediction of CO2 solubility in ionic liquids via convolutional autoencoder based on molecular structure encoding

In this study, novel molecular structure encoding descriptors composed of feature encoding and one‐hot encoding was developed and then convolutional autoencoder was used to denoise based on the structure of ionic liquids (ILs). It could be used to predict the CO2 solubility in ILs at different tempe...

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