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A hybrid analytical-PINN model for subsurface simulation of geothermal heat exchangers in heterogeneous underground
Accurate and efficient prediction of subsurface temperature fields is essential for the design and operation of borehole heat exchanger (BHE) systems. Here we develop a parametric hybrid analytical and physics-informed neural network (PINN) framework for long-term multi-BHE simulations in heterogene
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