transportlab.fueldeskpro.com
Explore advection and diffusion using original Lanyon C kernels compiled to WebAssembly.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 0 · Act 5 · Transact 0 · Score: Not yet scored
Tool inspector
run_hidden_physics
Train a data-only neural network and inverse PINN, fit a conventional transport model, and show held-out forecast errors.
Page: /hidden.html
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
seed |
integer | yes | — |
samples |
integer | yes | — |
noise |
number | yes | — |
steps |
integer | yes | — |
design |
string | yes | — |
Raw JSON schema
{
"type": "object",
"properties": {
"seed": {
"type": "integer",
"minimum": 1,
"maximum": 9999
},
"samples": {
"type": "integer",
"enum": [
8,
16,
32,
64
]
},
"noise": {
"type": "number",
"enum": [
0,
0.01,
0.03
]
},
"steps": {
"type": "integer",
"enum": [
1000,
3000,
6000
]
},
"design": {
"type": "string",
"enum": [
"spread",
"initial"
]
}
},
"required": [
"seed",
"samples",
"noise",
"steps",
"design"
],
"additionalProperties": false
}
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