Data & Computation · Energy
Simulating Scientific Machine Learning for Energy
Apply scientific machine learning simulation to real energy problems — in the browser, free to start.
▶ Launch the live Scientific Machine Learning simulatorIn energy, scientific machine learning shows up in work like wind-turbine cfd, battery modeling, heat-exchanger design. Physics-informed and data-driven models. PolySim lets your team build and run these models in the browser and share interactive, citable results.
Common Energy challenges this addresses
- Efficiency losses
- Thermal management
- Grid stability
Upgrade your workspace
Biology Simulation Kit — $19
Population dynamics, reaction networks, and cellular models.
Recommended products
Single Private Project Slot
$2Add one extra private cloud project beyond your plan limit.
Convergence Auto-Tuner
$8Automatically tune solver settings until your run converges.
Math / Dynamical Systems Kit
$19ODEs, PDEs, chaos, and dynamical-systems exploration.
Migration Service
$175We migrate a model from COMSOL, Ansys, or MATLAB to PolySim.
Materials Property Report
$6A sourced report on a material's mechanical & thermal properties.
Reproducible Research with PolySim
$18Publish reproducible, citable computational research.