Boltzmann equation, BGK model, Separable Physics Informed Neural Network, Machine learning, Canonical Polyadic Decomposition, Maxwellian Splitting
BGK Model, Separable PINNs, High-dimensional partial differential equation, Canonical polyadic decomposition, Maxwellian Splitting, Micro-macro decomposition
Volume-Weighted Average Price, reinforcement learning, Optimal Trading Execution, Proximal Policy Optimization, Markov decision process
unsupervised learning, deep neural network, Legendre-Galerkin approximation, Spectral bias, boundary layer, singular perturbation.
Physics-informed neural networks, Lithium-ion battery, Pseudo-two-dimensional model, forward and inverse solver, non-linear Butler-Volmer equation
Operator network, Data-free surrogate model, Spectral method, Incompressible 3D Navier-Stokes equations, fast inference
