1D simulation software "SystemModeler"
A Modelica-based 1D simulation software developed by Wolfram Research, famous for Mathematica.
Wolfram SystemModeler has all the tools necessary for physical modeling and simulation. Wolfram SystemModeler does not require any add-ons and fully supports the Modelica language. When integrated with Mathematica, it provides a comprehensive environment for rapid iteration of integrated analysis, understanding, and system development. It is truly a driving force for insights, innovation, and results.
basic information
**Drag and Drop Modeling** You can quickly and intuitively create models using drag and drop. The work involves simply arranging components on a canvas. Additionally, each component is connected with lines to indicate physical connections, such as wiring in electrical circuits or mechanical linkages. **Hierarchical Modeling** Creating hierarchical component-based models can be done along the topology of real-world systems. This makes it easier to develop and understand compared to traditional block-based models. With SystemModeler's independent sub-models that allow for split testing and reuse, you can quickly discover different designs or scenarios. **Multi-Domain Modeling** Real-world machines and systems are not confined to a single physical domain such as mechanical, electrical, or thermal. Models created with SystemModeler can include any combination of interconnected components from multiple physical domains. This more realistic multi-domain approach allows for the identification of significant effects that might be overlooked with unintegrated tools.
Price range
P4
Delivery Time
P4
Model number/Brand name
Wolfram SystemModeler
Applications/Examples of results
Multi-Domain Modeling Real-world machines and systems are confined to a single physical domain, such as mechanical, electrical, or thermal. Models created with SystemModeler can include any combination of interconnected components from multiple physical domains. This more realistic multi-domain approach allows for the discovery of important effects that may be overlooked by unintegrated tools. BioChem Library Numerical experiments can be conducted to reduce the need for metabolic pathways and clinical tests in models. The BioChem library includes components that represent reactants, physical compartments, and standard biochemical reactions, as well as several detailed example problems.