Physics-informed deep learning for solving phonon Boltzmann transport equation with large temperature non-equilibrium

  title={Physics-informed deep learning for solving phonon Boltzmann transport equation with large temperature non-equilibrium},
  author={Ruiyang Li and Jian-Xun Wang and Eungkyu Lee and Tengfei Luo},
  journal={npj Computational Materials},
Phonon Boltzmann transport equation (BTE) is a key tool for modeling multiscale phonon transport, which is critical to the thermal management of miniaturized integrated circuits, but assumptions about the system temperatures (i.e., small temperature gradients) are usually made to ensure that it is computationally tractable. To include the effects of large temperature non-equilibrium, we demonstrate a data-free deep learning scheme, physics-informed neural network (PINN), for solving stationary… 
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