Train a machine-learning surrogate on our real particle solver, then predict outcomes across the whole parameter space in microseconds — the instant-preview idea behind PhysicsX and Neural Concept, running in your browser.
AI Surrogate StudioLive
RBF surrogate trained on our own solver
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Train a surrogate model on our real particle solver, then get near-instant predictions instead of re-running the full simulation — the same idea behind PhysicsX and Neural Concept, running in your browser.
★ Sign in to save this setupSave your tuned setup, or drop this simulation into your own site, docs, or course page.
How it works
We sample the real solver across a grid of parameters, then fit a Gaussian radial-basis-function (RBF) interpolator with a linear tail and ridge regularization — solving the interpolation system directly. The trained surrogate predicts new outputs by evaluating basis functions, which is orders of magnitude faster than re-simulating. Accuracy is reported honestly using a held-out test grid (R², RMSE), and you can verify any prediction against the full solver to see the real speed-up.
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Ask the AI about this model
The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.
Yes. AI Surrogate Model runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?▾
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?▾
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?▾
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.