An interpretable surrogate model for H2S solubility forecasting in ionic liquids based on machine learning

Research article (Separation and Purification Technology, 2024) · cited 17× · AI/ML
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An interpretable surrogate model for H2S solubility forecasting in ionic liquids based on machine learning

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An interpretable surrogate model for H2S solubility forecasting in ionic liquids based on machine learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An interpretable surrogate model for H2S solubility forecasting in ionic liquids based on machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-surrogate-model-for-h2s-solubility-forecasting-in-ionic-liquids-based-on-machine-learning
MLA “An interpretable surrogate model for H2S solubility forecasting in ionic liquids based on machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-surrogate-model-for-h2s-solubility-forecasting-in-ionic-liquids-based-on-machine-learning.
BibTeX @misc{4ortxyz_an-interpretable-surrogate-model-for-h2s-solubility-forecasting-in-ionic-liquids-based-on-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable surrogate model for H2S solubility forecasting in ionic liquids based on machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-surrogate-model-for-h2s-solubility-forecasting-in-ionic-liquids-based-on-machine-learning}, note = {Accessed: 2026-05-24}}
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