Nidal H. Abu‐Hamdeh

Finite-element-assisted interpretable graph attention learning for high-fidelity prediction of mass transport in fibrin biomaterials

Abstract Accurate prediction of spatial concentration fields within biomaterials is important for mass-transfer analysis and computational modeling of transport processes. This study develops an interpretable data-driven framework for spatially resolved mass-transport prediction...

Thermal analysis and CFD-assisted machine learning prediction of temperature fields in direct-contact membrane distillation using darts game optimization

Abstract In this study, three regression techniques—multi-layer perceptron (MLP), Gaussian process regression (GPR), and weighted least squares (WLS)—were evaluated to predict the spatial temperature distribution, $$\:T$$ (K), obtained from CFD analysis of a direct-contact membra...