machine learning models for inverse design of the electrochemical oxidation process for water purification. (Gaussian inc)
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Machine Learning Models For Inverse Design Of The Electrochemical Oxidation Process For Water Purification., supplied by Gaussian inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Purification:Article Title: Interpretable Machine Learning Models Delivering a New Perspective for the Reaction Mechanism between Organic Pollutants and Oxidative Radicals. Article Snippet: Machine learning (ML) is expected to bring new insights into the impact of organic structures on the reaction mechanisms in reactive oxygen species oxidation.. However, understanding the underlying chemical mechanisms still faces challenges due to the limited interpretability of the ML models.. In this study, interpretable ML models were established to predict the second-order rate constants between hydroxyl radicals (•OH) and organics (k•OH). |
