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Altair® romAI™

Reduced Order Modeling (ROM) and System Identification from Simulation & Test Data

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Generate Static or Dynamic Models

Our romAI is a game-changing artificial-intelligence (AI) powered technology within Altair® Twin Activate™. With it, organizations can generate static or dynamic ROMs from simulation and test data and run whole-system analyses at phenomenal speed. Leveraging ROMs for system evaluation speeds up computationally expensive simulations, such as discrete element method (DEM), computational fluid dynamics (CFD) and finite element (FE) analyses, leaving more room to test ideas and optimize system performance. This extremely efficient approach helps organizations reduce time-to-market, slash cost, and reach sustainability goals faster. 

An indispensable asset to your model-based development workflows, romAI serves many purposes: digital twin creation and deployment; faster optimization and multi-disciplinary analysis; test data processing for system identification applications, and better real-time simulation accuracy. It supports popular formats, including Functional Mock-up Interface (FMI) standard, C code, and dynamic link library (DLL), for exporting to third-party software or hardware-based applications.

Altair® romAI™

Accelerate Innovation

Our game changing romAI model-order-reduction and system-identification technology is conveniently accessible from Altair Twin Activate®.

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Why romAI?

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Easy to Use

romAI's no-code application, intuitive interface, ROM and system identification capabilities, and AI-powered workflows enable teams to innovate at blazing speed.

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Compatible, Open, Flexible

The tool's optimized platform enables multidisciplinary analysis and seamless exporting with FMI, C-code, and DLL formats.

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Unparalleled Innovation

romAI's combined AI and dynamic system theory technology produces superior accuracy with less data.

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romAI Applications

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Operational Digital Twin

Real-time simulation via digital twin slashes waste by 15% and runtime from hours to seconds.

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Speeding Up Simulations VIA Model Order Reduction

AI power is the key to generating accurate ROMs.

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High-Fidelity Optimization Model

Combining AI and simulation for efficient bulk solids handling.

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Holistic Multidisciplinary Simulations

AI and multiphysics accelerate a solenoid valve analysis.

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Subsystem Model Order Reduction

Speeding up a truck-handling simulation using AI.

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Different Orders of Model Fidelity

Generating an efficient and accurate ROM of a linear actuator.

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Connect with an Altair expert to learn more.

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Featured Resources

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Getting the Signal with Digital Twin: Leonardo Deploys Digital Twin to Capture In-Flight Behavior of Helicopter Radar

Leonardo needed to correct a helicopter radar transmission loss caused by in-flight vibration to the helicopter's radome. Altair and Leonardo used a multiphysics approach to build a structural and electromagnetic digital twin of the antenna system and optimize the radome design.

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romAI &Altair® nanoFluidX®: Leveraging AI on Drivetrain CFD Simulations

Learn how romAI can efficiently predict the thermal behavior of gearboxes during operations by smartly reusing data from nanoFluidXR oil flow simulations. To solve the thermal problem, a dynamic non-linear Reduced Order Model (ROM) is generated to estimate the Gear-Oil heat transfer coefficient (HTC) based on variable gearbox RPM & Oil fill level.

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Stress and Load Prediction from Strains

How can one combine simulation, digital twins and real-time data to obtain insight into a real-world situation? This article provides a simple bracket example that leverages OptiStruct finite element simulations (FEA), romAI module from Activate, and “simulated test data” to predict stress and loads of a strain field.

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