Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning

Research article (Materials Science and Engineering R Reports, 2024) · cited 34× · AI/ML
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Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning

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Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning is a scholarly article[1].

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  • Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/revolutionizing-inverse-design-of-ionic-liquids-through-the-multi-property-prediction-of-over-300-000-novel-variants-usi
MLA “Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/revolutionizing-inverse-design-of-ionic-liquids-through-the-multi-property-prediction-of-over-300-000-novel-variants-usi.
BibTeX @misc{4ortxyz_revolutionizing-inverse-design-of-ionic-liquids-through-the-multi-property-prediction-of-over-300-000-novel-variants-usi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/revolutionizing-inverse-design-of-ionic-liquids-through-the-multi-property-prediction-of-over-300-000-novel-variants-usi}, note = {Accessed: 2026-05-24}}
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