Siemens Simcenter ROM (Reduced Oder Modeling) 2310.0 | 1.3 Gb
Siemens Digital Industries Software introduces Simcenter Reduced Order Modeling, new software that harnesses high-fidelity simulation and test data to train and validate AI/ML models. These models then enable engineers to perform predictions in a fraction of a second, transforming the way engineering professionals approach simulation.

Key Advantages:
- Speed and precision: Simcenter Reduced Order Modeling uses high-fidelity data to empower engineers to gain rapid predictions and to make critical decisions in a fraction of the time it would take using conventional methods.
- Predictive performance: By training AI/ML models on comprehensive datasets, this technology enables engineers to gain robust, reliable, and trustworthy insights, helping to eliminate the common issue of AI drift.

Introducing Simcenter Reduced Order Modeling

It’s no exaggeration to say that digital twin models have revolutionized the way we design products and processes today. Analysis in the virtual world of CAD and CAE has given designers much greater insight into the way things work and how to find better solutions to design challenges.

But high fidelity CAE simulation is an expert domain, and although those simulations might contain highly valuable intelligence about product performance that could be really useful upstream or downstream of that detailed design step, the models generally end up in the corner of a filesystem, gathering virtual dust.

Time to turbocharge your simulation and test data
Model order reduction, the process of creating a reduced order model, or ROM, is a way of turning performance data obtained through a simulation or test campaign into a super-fast prediction machine. You put parameter in one side and get instant performance metrics out the other. The neat thing about a ROM is that it is conveniently packaged in such a way as it can be dropped into another simulation model or workflow to serve as a very fast running surrogate of a larger model, or it can be shared with colleagues, suppliers or customers for easy execution in a different context.
Simcenter Reduced Order Modeling is for everyone
Model order reduction (MOR) is an active area of research in industry and academia, with a continually advancing state-of-the-art. One of the fundamental aims of Simcenter Reduced Order Modeling is to make that valuable technology accessible and useful for a broad engineering audience. It offers a robust wizard for ROM creation, taking you through the process of importing data, selecting, training, and validating a model, and exporting in the format you need. All delivered through an easy to use, no-code interface. Simcenter Reduced Order Modeling includes carefully selected MOR methods which are well suited to CAE applications, from linear algebra to control theory, neural networks, artificial intelligence (AI) and machine learning (ML). How are you supposed to choose? The tool also helps with that, with a powerful ‘model sweep’ option which trains multiple models for you and guides you through their suitability using a range of performance metrics.

Model order reduction in Simcenter – an evolutionary journey
Originally developed as an add-on for systems simulation and design exploration (you may be familiar with Simcenter ROM Builder in the context of Simcenter Amesim or HEEDS), the reduced order modeling technology in Simcenter has grown significantly over recent months and years. So significantly, in fact, that its applicability is now far beyond the domains of systems simulation models or facilitating faster design exploration studies. Many of the new capabilities are geared towards leveraging ROM with 3D CAE methods like CFD.
ROM toolbox for Simcenter
Simcenter Reduced Order Modeling is an extension of the Simcenter Portfolio, enabling ROM creation from any simulation or data source. It can be connected to fluids and thermal, mechanical, systems or physical test. Or anywhere else, for that matter.

New Features and Enhancements in Siemens Simcenter ROM (Reduced Oder Modeling) 2310.0

The following new features and enhancements are available in Simcenter Reduced Order Modeling.

- New User Interface: Navigate more easily through all project steps with the new user interface, featuring central access from the tree view, new plots, a table view for numerical display and more customization options.

- Correlation plot: Quickly identify correlated variables from data sets with this all-in-one plot, including histograms, scatter plots and correlation indexes. Correlation plots are available in Static Samples and Time Series projects. Use this plot to identify correlations that may help in selection of input and output variables for new models.

- Bulk data set processing: Cropping or splitting data sets now supports processing multiple data sets at once.

- Batch model export: Exporting models to multiple targets has been simplified and multiple models can now be exported at once.

- New licensing: Easily set up the product license from the Siemens License Server 2.0, using Siemens Advanced Licensing Toolkit (SALT).

- Teamcenter Share: Collaborate with others and share your projects using Teamcenter Share services

- Transformation matrix: Reconstruct the full size state vector from a state-space ROM made with the Krylov method, enabling full-field reconstruction from the ROM model.

Simcenter Reduced Order Modeling provides simulation, testing, production, and service professionals with a fast and easy way to create, evaluate, and export ROMs—and thanks to its advanced automation, no additional expertise is needed. Also this solution enables you to capture data that represents a model or process and effortlessly generate a precise, lower-fidelity version of