Kirill V. Vokhmintsev

A unified solvatochromic–computational–machine–learning approach for solvent property prediction based on iodine color response

Solvent effects govern the majority of chemical transformations, yet experimentally accessible and universally applicable tools for predicting solvating ability remain limited. Here, we introduce iSolv, a simple but information-rich solvatochromic descriptor derived from the color of diluted iodine solutions in organic...