Siemens Simcenter ROM (Reduced Oder Modeling)

Siemens Simcenter ROM Overview

Simcenter ROM (Reduced Order Modeling) is an easy-to-use platform for creating, validating, and exporting reduced order models (ROMs) from simulation and test data.

Siemens Simcenter ROM Features

Open platform for ROM
Use high-fidelity simulation or test data from any source for ultra-fast predictions, enabling faster decision making, collaborative modeling, and real-time applications including control and monitoring.
Easy to use for experts and non-experts
Access a wide range of best-in-class data science methods, from control theory to neural networks and artificial intelligence (AI). Easily train different ROMs and compare them using performance metrics with a simple, no-code user interface.
Integration with Simcenter
Simcenter Reduced Order Modeling easily exchanges data and models with Simcenter simulation and physical testing tools, and supports neutral formats for data import and model export.
Simcenter Reduced Order Modeling Capabilities
Best-in-class methods for model order reduction
Data reduction methods are a very active area of ​​research today and are used for a variety of tasks in engineering and data science. Simcenter Reduced Order Modeling offers methods that are most suitable for CAE applications, from response surface models to neural networks, AI, and machine learning (ML).
An intuitive user interface and setup wizard deliver these best-in-class methods through an automated workflow, allowing the user to focus on the application.
Applicable in any engineering fields
Leverage ROM using any form of simulation or test data—from fluids and thermal, mechanical, system simulation, or physical test data. Simcenter Reduced Order Modeling can import and analyze data from any source, yet seamlessly integrates with the Simcenter portfolio of tools.
Provides an end-to-end workflow
Simcenter Reduced Order Modeling guides you through the end-to-end ROM creation process. A single interface manages the workflow from data import, through model selection, training and validation, to export.
Different workflows are suitable for both experts and non-experts. Not sure which data reduction method provides the best performance for your application? Automatic model deployment tunes and trains all suitable methods and ranks them using standard performance metrics
Universal export
Export ROMs to multiple targets, including FMI, ONNX, and Amesim, with a single click. Exported models are tool-independent and do not require a license or solver to run, making them a cost-effective way to speed up modeling workflows, as well as a reliable and secure means of sharing models with colleagues and clients.

File Information

Year/Release Date : 2024
Version : 2404.0
Developer : Siemens PLM Software
Developer’s website : www.plm.automation.siemens.com
Bit depth : 64bit
Interface language : English
Tablet : Present

System Requirements

Win10 64-bit
Java RE 8 u45 64-bit minimum