3d burgers and ks uploaded. JUST MISSING KDV

Burgers/3D/RandomTruncatedFourierSeries/dataset.h5

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Burgers/3D/RandomTruncatedFourierSeries/metadata.json

@@ -1,63 +1,81 @@
 {
+  "generate_dataset_py": {
+    "num_spatial_dims": 3,
     "pde": "Burgers",
+    "ic": "RandomTruncatedFourierSeries",
+    "bc": "None",
+    "x_domain_extent": 128.0,
+    "num_points": 256,
+    "dt_save": 0.01,
+    "t_end": 10.0,
+    "save_freq": 10,
+    "simulations": 5,
+    "plotted_sim": 3,
+    "plot_sim": "True",
+    "stats": "True",
+    "seed": 42,
+    "nu": [0, 0.00001, 0.01]
+  },
+
+  "generation_details": {
+    "library": "Exponax",
+    "library_url": "https://github.com/Ceyron/exponax/tree/main/exponax",
+    "spatial_method": "Fourier pseudo-spectral method",
+    "dealiasing": "2/3-rule",
+    "time_integration": "Exponential time-differencing",
+    "variant": "ETDRK2 (second-order Runge-Kutta)"
+  },
+
+  "stepper_py": {
+    "cutoff": 5,
+    "include_init": true
+  },
+
+  "exponax_stepper": {
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+    "convection_scale": 1.0,
+    "single_channel": false,
+    "conservative": false,
+    "order": 2,
+    "dealiasing_fraction": 0.6666666666666666,
+    "num_circle_points": 16,
+    "circle_radius": 1.0
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+  "exponax_ic": {
+    "description": "This dataset uses the RandomTruncatedFourierSeries class to generate initial conditions.",
+    "amplitude_range": [0.0, 1.0],
+    "angle_range": [0.0, 6.283185307179586],
+    "offset_range": [0.0, 0.0],
+    "std_one": true,
+    "max_one": false,
+    "method": "Initial condition generated by sampling complex Fourier coefficients with random amplitude and phase, truncated using a low-pass filter. A small real offset is added to the zero mode."
+  },
   
-    "generate_dataset_py": {
-      "num_spatial_dims": 3,
-      "num_points": 100,
-      "num_channels": 3,
-      "x_domain_extent": 100.0,
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-      "simulations": 3,
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-      "ic": "RandomTruncatedFourierSeries",
-      "bc": "None",
-      "include_init": true
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+      "std": 3.736791,
+      "min": -15.010252,
+      "max": 14.087478
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-    "generation_details": {
-      "library": "Exponax",
-      "library_url": "https://github.com/Ceyron/exponax/tree/main/exponax",
-      "spatial_method": "Fourier pseudo-spectral method",
-      "dealiasing": "2/3-rule",
-      "time_integration": "Exponential time-differencing",
-      "variant": "ETDRK2 (second-order Runge-Kutta)"
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-    "stepper_py": {
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-      "num_circle_points": 16,
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-    "exponax_ic": {
-      "description": "This dataset uses the RandomTruncatedFourierSeries class to generate initial conditions.",
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-      "source_module": "exponax.ic.RandomTruncatedFourierSeries"
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-    "dataset_global_statistics": {
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     }
-    
+  },
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+  "generation_metadata": {
+    "generation_time": "141.07 seconds",
+    "dataset_shape": [29, 3, 2, 256, 256, 256]
   }
+
+}

KortewegDeVries/3D/RandomTruncatedFourierSeries/metadata.json

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+{
+    "generate_dataset_py": {
+      "num_spatial_dims": 3,
+      "pde": "KortewegDeVries",
+      "ic": "RandomTruncatedFourierSeries",
+      "bc": "None",
+      "x_domain_extent": 2048.0,
+      "num_points": 128,
+      "dt_save": 0.001,
+      "t_end": 10.0,
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+      "simulations": 5,
+      "plotted_sim": 1,
+      "plot_sim": "True",
+      "stats": "True",
+      "seed": 42,
+      "nu": [0.05]
+    },
+  
+    "generation_details": {
+      "library": "Exponax",
+      "library_url": "https://github.com/Ceyron/exponax/tree/main/exponax",
+      "spatial_method": "Fourier pseudo-spectral method",
+      "dealiasing": "2/3-rule",
+      "time_integration": "Exponential time-differencing",
+      "variant": "ETDRK2 (second-order Runge-Kutta)"
+    },
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+    "stepper_py": {
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+      "include_init": true
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+        "diffusivity": 0.0,
+        "dispersivity": 1.0,
+        "advect_over_diffuse": "False",
+        "diffuse_over_diffuse": "False",
+        "single_channel": "True",
+        "conservative": "True",
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+        "order": 2,
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+        "num_circle_points": 16,
+        "circle_radius": 1.0
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+    "exponax_ic": {
+      "description": "This dataset uses the RandomTruncatedFourierSeries class to generate initial conditions.",
+      "amplitude_range": [0.0, 1.0],
+      "angle_range": [0.0, 6.283185307179586],
+      "offset_range": [0.0, 0.0],
+      "std_one": true,
+      "max_one": false,
+      "method": "Initial condition generated by sampling complex Fourier coefficients with random amplitude and phase, truncated using a low-pass filter. A small real offset is added to the zero mode."
+    },
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+    "dataset_global_statistics": {
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+    "generation_metadata": {
+      "generation_time": "7.32 seconds",
+      "dataset_shape": [10, 1, 5, 2048]
+    }
+
+  }
+  

Burgers/3D/RandomTruncatedFourierSeries/plots/frame_000.png → KuramotoSivashinsky/3D/RandomTruncatedFourierSeries/dataset.h5

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KuramotoSivashinsky/3D/RandomTruncatedFourierSeries/metadata.json

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+{
+  "generate_dataset_py": {
+    "num_spatial_dims": 3,
+    "pde": "KuramotoSivashinsky",
+    "ic": "RandomTruncatedFourierSeries",
+    "bc": "None",
+    "x_domain_extent": 128.0,
+    "num_points": 256,
+    "dt_save": 0.01,
+    "t_end": 10.0,
+    "save_freq": 1,
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+    "plot_sim": "True",
+    "stats": "True",
+    "seed": 42,
+    "nu": [0, 0.1, 0.01, 0.001]
+  },
+
+  "generation_details": {
+    "equation": "Kuramoto–Sivashinsky (fluid dynamics form)",
+    "library": "Exponax",
+    "library_url": "https://github.com/Ceyron/exponax/tree/main/exponax",
+    "spatial_discretization": "Fourier pseudo-spectral method",
+    "nonlinearity": "Conservative convection term: (1/2) * ∂ₓ(u²)",
+    "linear_terms": {
+      "second_order": "∂ₓₓ (destabilizing, ψ₁ > 0)",
+      "fourth_order": "∂ₓₓₓₓ (stabilizing, ψ₂ > 0)"
+    }
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+    "zero_mode_fix": true
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+  "generation_metadata": {
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+    "dataset_shape": [12, 1, 11, 256, 256, 256]
+  }
+}