Simcenter Studio

Generative engineering in the initial concept phase

Simcenter Studio is a Simcenter portfolio application for developing and assessing system designs during the early idea phase. The program contains unique technology that enables engineers and data scientists to design innovative and topologically distinct system designs. Simcenter Studio also automatically simulates and evaluates hundreds of these designs by combining system simulation, optimum control approaches, and reinforcement learning on top of a cutting-edge machine learning and scientific computing stack. This enables engineers and data scientists to construct user-defined techniques for generative engineering in computational notebooks.

AI-based generation of system architectures

Create system architectures by defining what is required and allowing the programme to assist you in discovering unique concepts. Simcenter Studio builds a wide range of system designs from an engineering-friendly formal model description using proprietary AI technology. This overcomes the problem of design fixation by employing a systematic and reproducible technique that also collects important insights during the early design phase.

Computational notebooks for system simulation

System simulation from within computational notebooks is used to evaluate developed or imported system designs. Computational notebooks incorporate narrative prose, mathematical equations, code, models, and visualisation, as well as workflows, user-defined processes, executable models, and documentation. Accelerate assessment runs by automatically launching and pooling system simulations using Python’s sophisticated scriptable interface. To facilitate post-processing, combine all findings into a single HDF5 file. Computational notebooks make design decisions replicable and documented in this way.

Controller generation for realistic trade-studies

Create system architectures by defining what is required and allowing the programme to assist you in discovering unique concepts. Simcenter Studio builds a wide range of system designs from an engineering-friendly formal model description using proprietary AI technology. This overcomes the problem of design fixation by employing a systematic and reproducible technique that also collects important insights during the early design phase.

Guided selection of the best system architecture

Bring all key stakeholders together to use a straightforward web-based tool to do the multi-attribute balancing. Use artificial intelligence to build compliant architectures and an interactive tool to cross-filter and rank thousands of designs. From the large design space, a recommender system can identify possibly ignored options. Create your own processes in computational notebooks to create use-case-specific reports, allowing for targeted discussions on unique designs.