Pinnsformer: A transformer-based framework for physics-informed neural networks
Physics-Informed Neural Networks (PINNs) have emerged as a promising deep learning
framework for approximating numerical solutions to partial differential equations (PDEs) …
framework for approximating numerical solutions to partial differential equations (PDEs) …
Learning thermoacoustic interactions in combustors using a physics-informed neural network
Many gas turbine and rocket engines exhibit unwanted combustion instability at the
experimental testing phase. Instability leads to large amplitude pressure oscillations and …
experimental testing phase. Instability leads to large amplitude pressure oscillations and …
Understanding the Difficulty of Solving Cauchy Problems with PINNs
Physics-Informed Neural Networks (PINNs) have gained popularity in scientific computing in
recent years. However, they often fail to achieve the same level of accuracy as classical …
recent years. However, they often fail to achieve the same level of accuracy as classical …