arXiv Machine Learning July 22, 2026 By Zeno Romero, Maximilian Kohns, Fabian Jirasek

Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning

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arXiv:2607. 19114v1 Announce Type: new Abstract: Activities in aqueous electrolyte solutions, usually described by ionic activity and osmotic coefficients, are important properties for modeling many processes in industry and nature.

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