Работы, цитирующие эту работу

Работ: 4

Работа: Prediction of viscosity of water-based Al2O3, TiO2, SiO2, and CuO nanofluids using a reliable approach

1. New insights into residue formation due to oxidation of crude oil via data-driven methods

   Mohammad Abushuhel, Ibrahim Khersan, Tariq Abdulkader Alrihaim +7

   СтатьяPetroleum Processing and AnalysisGeosystem Engineering2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.017440

2. Effects of physical properties on the heavy metal adsorption of biochar via a robust approach

   Mahran Al-Zyoud, Salama A. Mostafa, Ibrahim Khersan +6

   СтатьяAdsorption and biosorption for pollutant removalCurrent Research in Biotechnology2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000174

3. Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

   Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

   СтатьяIonic liquids properties and applicationsChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004224

4. Prediction methods and influencing factors on the viscosity of nanofluids using machine learning: A comprehensive review

   Shuangcen Li, Ali Basem, Ahmed Kateb Jumaah Al-Nussairi +6

   СтатьяNanofluid Flow and Heat TransferInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.012142