Combined machine learning approaches to predict the thermal conductivity of liquid mixtures
The application of Machine Learning (ML)-based techniques was explored to create a fully predictive framework for estimating the thermal conductivity of multi-component mixtures containing hydrocarbons and oxygenated compounds. The study followed these steps: (i) three datasets were constructed usin...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
EDP Sciences
2026-01-01
|
| Rangatū: | Science and Technology for Energy Transition |
| Ngā marau: | |
| Urunga tuihono: | https://www.stet-review.org/articles/stet/full_html/2026/01/stet20250333/stet20250333.html |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|