{"ok":true,"site":{"host":"transportlab.fueldeskpro.com","url":"https://transportlab.fueldeskpro.com/","type":"live","desc":"Explore advection and diffusion using original Lanyon C kernels compiled to WebAssembly.","tools":[{"name":"run_transport_experiment","kind":"act","impl":"imperative","description":"Configure and run the visible advection–diffusion experiment, then return diagnostics.","title":"Run transport experiment","annotations":{"readOnlyHint":false,"untrustedContentHint":false},"inputSchema":{"type":"object","properties":{"n":{"type":"integer","enum":[64,128,256,512]},"a":{"type":"number","minimum":-1,"maximum":1},"D":{"type":"number","minimum":0.001,"maximum":0.02},"duration":{"type":"number","minimum":0.1,"maximum":3},"cfl":{"type":"number","minimum":0.1,"maximum":0.45},"profile":{"type":"integer","enum":[0,1,2]}},"required":["n","a","D","duration","cfl","profile"],"additionalProperties":false},"hasHandler":true,"hasExecute":true,"__source":"spec","executable":true,"handlerField":"execute","page":"/","pages":["/"]},{"name":"train_transport_pinn","kind":"act","impl":"imperative","description":"Run actual ordinary-NN and PINN training with identical initial conditions and return exact-solution errors. Changes visible training state.","title":"Train transport neural networks","annotations":{"readOnlyHint":false,"untrustedContentHint":false},"inputSchema":{"type":"object","properties":{"samples":{"type":"integer","minimum":4,"maximum":64,"multipleOf":4},"noise":{"type":"number","minimum":0,"maximum":0.1,"multipleOf":0.01},"weight":{"type":"number","enum":[0,0.01,0.1,1,10]},"steps":{"type":"integer","enum":[500,1000,2000,5000]},"seed":{"type":"integer","minimum":1,"maximum":9999}},"required":["samples","noise","weight","steps","seed"],"additionalProperties":false},"hasHandler":true,"hasExecute":true,"__source":"spec","executable":true,"handlerField":"execute","page":"/pinn.html","pages":["/pinn.html"]},{"name":"explore_rulebook","kind":"act","impl":"imperative","description":"Set the visible toy integer rules and weights, then enumerate candidates and independently check a proposed answer.","title":"Explore Rule Lab","annotations":{"readOnlyHint":false,"untrustedContentHint":false},"inputSchema":{"type":"object","properties":{"active":{"type":"array","items":{"type":"string","enum":["square","positive","negative","three"]},"uniqueItems":true},"weights":{"type":"object","properties":{"square":{"type":"integer","minimum":0,"maximum":10},"positive":{"type":"integer","minimum":0,"maximum":10},"negative":{"type":"integer","minimum":0,"maximum":10},"three":{"type":"integer","minimum":0,"maximum":10}},"required":["square","positive","negative","three"],"additionalProperties":false},"candidate":{"type":"integer","minimum":-4,"maximum":4}},"required":["active","weights","candidate"],"additionalProperties":false},"hasHandler":true,"hasExecute":true,"__source":"spec","executable":true,"handlerField":"execute","page":"/rules.html","pages":["/rules.html"]},{"name":"run_hidden_physics","kind":"act","impl":"imperative","description":"Train a data-only neural network and inverse PINN, fit a conventional transport model, and show held-out forecast errors.","title":"Run hidden physics challenge","annotations":{"readOnlyHint":false,"untrustedContentHint":false},"inputSchema":{"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},"hasHandler":true,"hasExecute":true,"__source":"spec","executable":true,"handlerField":"execute","page":"/hidden.html","pages":["/hidden.html"]},{"name":"train_weight_study","kind":"act","impl":"imperative","description":"Train controlled families and transfer controls; update the visible study.","title":"Train weight study","annotations":{"readOnlyHint":false},"inputSchema":{"type":"object","properties":{"seeds":{"type":"integer","enum":[6,8,12]},"steps":{"type":"integer","enum":[1000,3000]},"noise":{"type":"number","enum":[0,0.01]},"firstSeed":{"type":"integer","minimum":1,"maximum":9999}},"required":["seeds","steps","noise","firstSeed"],"additionalProperties":false},"hasHandler":true,"hasExecute":true,"__source":"spec","executable":true,"handlerField":"execute","page":"/isomorph.html","pages":["/isomorph.html"]}],"category":"Health & Education","favicon":"/favicons/transportlab.fueldeskpro.com.svg","apiSurface":"spec","toolCount":5}}