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Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning
Activities in aqueous electrolyte solutions, usually described by ionic activity and osmotic coefficients, are important properties for modeling many processes in industry and nature. Established activity models, such as those of Pitzer or Bromley, require fitting to experimental data for each elect
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