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J. Morales-Mercado

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Open access Oct 2026

Physics-Informed Neural Network for Sparse-Sensor Inverse Heat Conduction

This study develops a sparse-sensor physics-informed neural network (PINN) to reconstruct a transient two-dimensional thermalfield and identify thermal diffusivity, volumetric heat loss, and source amplitude from noisy point measurements. Sixteen interiorsensors provide 5424 observations for a moving-source benchmark....

C. U. Solis-Cervantes, L. G. Vega-Macotela, J. Morales-Mercado · 0 citations

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