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A Physics-Informed Neural Network for Solving the Inverse Heat Transfer Problem in Gas Turbine Rotating Cavities
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Recently, physics-informed neural networks (PINNs) have displayed great potential in delivering swift and accurate solutions for inverse problems. Here, a PINN was used to solve the inverse heat conduction problem in the ...