Работы, цитирующие эту работу

Работ: 4

Работа: Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction

1. A robust machine learning framework for predicting CO2 solubility in polyethylene glycol using advanced optimization strategies

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

   СтатьяPhase Equilibria and ThermodynamicsChinese Journal of Analytical Chemistry2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.010719

2. Machine learning approaches for estimating formation enthalpies in energetic materials

   Jianfeng Li, Farag M. A. Altalbawy, Hardik Doshi +8

   СтатьяMachine Learning in Materials ScienceJournal of Energetic Materials2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.016168

3. Estimation of lithium adsorption in brine via robust machine learning algorithms

   Farag M. A. Altalbawy, Ahmad Almalkawi, Anupam Yadav +7

   СтатьяExtraction and Separation ProcessesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.007619

4. Information theory and thermal properties of an extended cosine hyperbolic potential model

   Chou-Yi Hsu, Pradeep Kumar Singh, Yusufbay Yusupov +4

   СтатьяThermoelastic and Magnetoelastic PhenomenaScientific Reports2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.007916