root: common: device: "auto" dtype: "float64" seed: 42 weight_dir: "weight" result_dir: "result" cases: laplace: model: input_dim: 1 n_layers: 4 n_neurons: 50 activation: "tanh" attention: enabled: true lr: 0.01 training: epochs: 10000 lr: 0.001 lbfgs_iters: 2000 log_interval: 1000 loss: data: 10.0 pde: 1.0 boundary: 10.0 data: domain: [0.0, 1.0] n_sol: 200 n_pde: 1000 n_bnd: 2 noise_std: 0.0 test_res: 200 output: checkpoint_name: "sapinn_laplace.pt" predictions_name: "sapinn_laplace.npz" figure_name: "sapinn_laplace.png" history_name: "sapinn_laplace_history.npz" helmholtz: model: input_dim: 2 n_layers: 4 n_neurons: 50 activation: "tanh" attention: enabled: true lr: 0.001 training: epochs: 10000 lr: 0.001 lbfgs_iters: 5000 log_interval: 1000 loss: data: 0.0 pde: 1.0 boundary: 10.0 data: domain_x: [-1.0, 1.0] domain_y: [-1.0, 1.0] n_sol: 200 n_pde: 10000 n_bnd: 400 test_res: 100 wave_number: 1.0 output: checkpoint_name: "sapinn_helmholtz.pt" predictions_name: "sapinn_helmholtz.npz" figure_name: "sapinn_helmholtz.png" history_name: "sapinn_helmholtz_history.npz" burgers: model: input_dim: 2 n_layers: 8 n_neurons: 20 activation: "tanh" attention: enabled: true lr: 0.005 training: epochs: 100 lr: 0.005 lbfgs_iters: 5000 log_interval: 10 loss: data: 10.0 pde: 1.0 boundary: 10.0 data: domain_x: [-1.0, 1.0] domain_t: [0.0, 1.0] n_sol: 100 n_pde: 10000 n_bnd: 50 test_res: 100 viscosity: 0.003183098861837907 output: checkpoint_name: "sapinn_burgers.pt" predictions_name: "sapinn_burgers.npz" figure_name: "sapinn_burgers.png" history_name: "sapinn_burgers_history.npz"