Data & Computation · Materials Science
Simulating Scientific Machine Learning for Materials Science
Apply scientific machine learning simulation to real materials science problems — in the browser, free to start.
▶ Launch the live Scientific Machine Learning simulatorIn materials science, scientific machine learning shows up in work like molecular dynamics, fatigue modeling, composite analysis. Physics-informed and data-driven models. PolySim lets your team build and run these models in the browser and share interactive, citable results.
Common Materials Science challenges this addresses
- Property prediction
- Microstructure
- Failure mechanisms
Upgrade your workspace
Research Paper Repro Kit — $29
Tools to reproduce and publish results from a paper.
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Reproducible Research with PolySim
$18Publish reproducible, citable computational research.
Enterprise
$480/moOn-prem/air-gapped deployment with dedicated clusters.
Video Export Credit ×3
$4Render three 4K simulation videos of your time-domain results.
Shareable Interactive Embed
$3Publish one live, interactive embed of a simulation to any site.
Physics Starter Kit
$19Everything you need to start simulating classical & modern physics.
Solver Validation & Benchmarking
$149Validate your setup against benchmark cases and report accuracy.