Ушбу ишга иқтибос қилган ишлар

4 та иш

Иш: Evaluation of the response surface and hybrid artificial neural network-genetic algorithm methodologies to determine extraction yield of Ferulago angulata through supercritical fluid

1. Universal data-driven models to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide: Correlation development and machine learning modeling

   Farag M. A. Altalbawy, Nadhir N.A. Jafar, Dharmesh Sur +10

   МақолаPhase Equilibria and ThermodynamicsJournal of CO2 Utilization20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000512

2. Study of Baclofen Solubility in Supercritical CO₂ with and without Cosolvents: Experimental Analysis, Thermodynamic Evaluation, and Machine Learning Methods

   Mohammad Ahmar Khan, Paul Rodrigues, Sameer A. Awad +7

   МақолаPhase Equilibria and ThermodynamicsJournal of Chemical & Engineering Data20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000550

3. Supercritical extraction of salicin, aspirin precursor, from the willow bark, laboratory optimization via response surface methodology and mathematical modeling

   Mohammad Abohassan, Normurоt Fayzullaev, Gaber Edris +7

   МақолаPharmacological Effects of Natural CompoundsThe Journal of Supercritical Fluids20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000755

4. Carbon dioxide solubility in polyethylene glycol polymer: an accurate intelligent estimation framework

   Fadhel F. Sead, Dharmesh Sur, Anupam Yadav +7

   МақолаPolymer Foaming and CompositesScientific Reports20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.001980