A novel computational strategy to estimate CO2 solubility in brine solutions for CCUS applications

•Developed a Machine-learning-based framework to estimate CO2 solubility in brine.•Validated the workflow & model against experimental data for various salt mixtures.•Model predictions on CO2 solubility are accurate and within 2–7% relative error.•The modelling framework is predictive and can be extended to any salt mixture.•Main contributor/feature and ionic properties were identified for CCS applications.