Data & Computation
How to Simulate Scientific Machine Learning
Physics-informed and data-driven models.
▶ Launch the live Scientific Machine Learning simulatorStep by step
- 1
Open the Studio
Launch PolySim Studio in your browser — no install or signup needed to start.
- 2
Set up scientific machine learning
Add the relevant nodes and parameters, or describe the system to the AI Copilot.
- 3
Configure conditions
Set boundary and initial conditions so the model is well-posed.
- 4
Run and explore
Run locally with WebGPU and inspect the results interactively.
- 5
Share or scale
Publish an interactive embed, or scale to the cloud for larger runs.
Scientific Machine Learning by industry
Upgrade your workspace
FEA / Structural Pro Pack — $39
Structural, thermal, and modal finite-element analysis toolset.
Recommended products
CFD Masterclass
$25An in-depth masterclass on computational fluid dynamics.
Team Starter
$129/moA small team plan with pooled seats and compute.
Starter Token Pack
$3300 Compute Tokens to run your first cloud simulations without a subscription.
Dataset Import Credit
$3Import one large external dataset for data-driven simulation.
LaTeX / Report Auto-Generator
$6Turn your results into a formatted LaTeX report with figures.
Hackathon / Team Sprint Pack
$35A short-term team workspace with pooled compute for sprints.