Siemens Simcenter ROM (Reduced Oder Modeling) 2404Simcenter ROM (Reduced Order Modeling) is an easy-to-use platform for creating, validating, and exporting Reduced Order Models (ROMs) from simulation and test data.
Open platform for ROM
Use high-fidelity modeling or testing data from any source for ultra-fast forecasting, enabling faster decision making, collaborative modeling, and real-time applications including control and monitoring.
Ease of use for experts and non-experts alike
Gain access to a wide range of best-in-class data science techniques, from control theory to neural networks and artificial intelligence (AI). Easily train different ROMs and compare them using performance metrics using a simple code-free user interface.
Simcenter Integration
Simcenter Reduced Order Modeling easily exchanges data and models with Simcenter’s simulation and physical testing tools, and supports neutral formats for data import and model export.
Simcenter Reduced Order Modeling capabilities
Best-in-class model order reduction methods
Data reduction methods are a very active area of research today and are used for a variety of applications in engineering and data science. Simcenter Reduced Order Modeling offers methods best suited for CAE applications, from response surface models to neural networks, AI and machine learning (ML).
An intuitive user interface and customization wizard deliver these best-in-class methods through an automated workflow, allowing the user to focus on the application.
Applicable in any engineering field
Use ROM using any form of simulation or test data – from fluid and thermal, mechanical, system modeling, or physical test data. Simcenter Reduced Order Modeling can import and analyze data from any source, yet it integrates seamlessly with Simcenter portfolio tools.
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