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4 ta ish

Ish: 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

    MaqolaPhase Equilibria and ThermodynamicsChinese Journal of Analytical Chemistry20250 iqtibos
    ABI

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

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

    MaqolaMachine Learning in Materials ScienceJournal of Energetic Materials20250 iqtibos
    ABI

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

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

    MaqolaExtraction and Separation ProcessesChemical Papers20260 iqtibos
    ABI

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

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

    MaqolaThermoelastic and Magnetoelastic PhenomenaScientific Reports20260 iqtibos
    ABI