Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques
Abstract MXene-based aqueous ionic liquids hold significant promise for enhancing heat transfer in solar energy systems. However, their full potential remains underexplored, particularly concerning the simultaneous optimization of key thermophysical properties such as thermal conductivity (TC), dyna...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06702-6 |
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