Работы, цитирующие эту работу

Работ: 3

Работа: Prediction of CO2 solubility in ionic liquids using machine learning methods

1. Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning

   Loke Kok Foong, Vojtěch Blažek, Lukáš Prokop +3

   СтатьяAir Quality Monitoring and ForecastingEngineering Applications of Computational Fluid Mechanics2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000820

2. Accurate Data-Driven Frameworks to Estimate Solubility of Ammonia in Ionic Liquids

   Tao Xu, Ahmad Alkhayyat, Zainab Ahmed Hamodi +9

   СтатьяIonic liquids properties and applicationsJOURNAL OF CHEMICAL ENGINEERING OF JAPAN2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.009906

3. Machine learning frameworks to accurately compute CO2 capture in porous liquids

   Farag M. A. Altalbawy, Soumya V. Menon, Anupam Yadav +7

   СтатьяCarbon Dioxide Capture TechnologiesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004589