Scientific Machine Learning Framework for Thermal Digital Twin: Physics-Informed Neural Networks for High-Precision Temperature Field Reconstruction with Sparse Sensors

Introduction / Main Floor: Scientific Machine Learning Framework for Thermal Digital Twin: Physics-Informed Neural Networks for High-Precision Temperature Field Reconstruction with Sparse Sensors

A hybrid analytical modeling framework for thermal digital twin built on PyTorch, which uses Physics-Informed Neural Networks (PINN) to reconstruct high-resolution continuous temperature fields from sparse sensor measurements, providing new insights for industrial asset monitoring.