Machine learning approaches to predict the apparent rate constants for aqueous organic compounds by ferrate

Research article (Journal of Environmental Management, 2022) · cited 16× · AI/ML
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Machine learning approaches to predict the apparent rate constants for aqueous organic compounds by ferrate

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Machine learning approaches to predict the apparent rate constants for aqueous organic compounds by ferrate is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning approaches to predict the apparent rate constants for aqueous organic compounds by ferrate. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approaches-to-predict-the-apparent-rate-constants-for-aqueous-organic-compounds-by-ferrate
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BibTeX @misc{4ortxyz_machine-learning-approaches-to-predict-the-apparent-rate-constants-for-aqueous-organic-compounds-by-ferrate_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning approaches to predict the apparent rate constants for aqueous organic compounds by ferrate}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approaches-to-predict-the-apparent-rate-constants-for-aqueous-organic-compounds-by-ferrate}, note = {Accessed: 2026-05-24}}
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