Simcenter RomAI transforms high-fidelity simulation and complex test data into lightning-fast, accurate AI-powered reduced-order models (ROMs). Combining deep learning with dynamic system theory, it delivers real-time system insights across CFD, FEA, DEM and beyond—through an intuitive, no-code platform.
Simcenter RomAI empowers teams to explore more designs, optimize faster and deploy production-ready digital twins with confidence.
Replace computationally expensive CFD, FEA and DEM runs with accurate deep learning surrogates. Simcenter RomAI delivers quick evaluation of complex systems, enabling broader design exploration at a fraction of the compute cost.
An intuitive, no-code interface lets engineers train, evaluate and deploy AI-based ROMs—no data science expertise required. Export via FMI, C code or DLL for seamless integration into any simulation or hardware platform.
Combining AI with dynamic system theory, Simcenter RomAI delivers high-accuracy models even from small datasets. Build and deploy digital twins that preserve 3D simulation fidelity while running orders of magnitude faster.
Simcenter RomAI provides powerful tools to preprocess and filter raw simulation or test data. Engineers can visualize variable correlations, identify outliers and clean datasets for optimal model quality. Whether working with time-series test data or high-fidelity 3D solver outputs, the preprocessing pipeline ensures only the most relevant signals feed the AI training engine to maximize accuracy.
Simcenter RomAI supports static and dynamic model training via neural networks. Users define inputs, outputs and state variables, while the tool auto-explores optimal architectures: hidden layers, neuron counts and training epochs. The result: accurate surrogate models capturing linear and nonlinear system behavior, ready for multidisciplinary simulation deployment.
Simcenter RomAI provides evaluation tools to validate trained ROMs before deployment. Engineers assess accuracy using target-versus-prediction plots, hyperplane visualizations and time-based comparisons. This validation step ensures the ROM faithfully replicates high-fidelity simulation or test behavior, giving full confidence before integrating the ROM into system-level workflows or digital twins.
Once validated, Simcenter RomAI models export as FMI, C code, or DLL to integrate seamlessly into Simcenter Twin Activate, third-party platforms, IoT environments or embedded hardware. Deployed ROMs run orders of magnitude faster than conventional simulations, enabling real-time digital twin operation, predictive maintenance, hardware-in-the-loop testing and multidisciplinary optimization.
