Siml.ai provides both physics-informed and data-driven machine learning solutions for physics simulation problems. All these solutions depend on expressing the physics problem as a mathematical optimization problem. The mathematical optimization problem is, in turn, posed on a particular geometry and/or set of data.
Geometry node in Siml.ai Model Engineer visual editor lets users import an existing geometry from a CAD file or STL mesh.
Figure 1.: Geometry node in Model Engineer visual editor
When a geometry is imported, it is automatically converted to STL mesh for training purposes (Tesselation module will
sample points specified by
Batch size of the constraint node connected to the specific geometry node). But not just that -
it's also converted to an isosurface for Siml.ai Simulation Studio to use in physics simulations, and to a fast, web-based
representation for smooth, interactive rendering in geometry viewer inside Siml.ai Model Engineer:
Figure 2.: Geometry viewer in Model Engineer visual editor, rendering the geometries uploaded through geometry node.