AI-Powered Simulation Tools for Surrogate Modeling Engineering Workflows with Siml.ai and NVIDIA Modulus
- AI-powered simulation tools are essential for engineering challenges like designing nuclear fusion reactors or optimizing wind farms.
- NVIDIA Modulus is an open-source physics-ML platform that combines physics with deep learning training data to create high-fidelity surrogate models.
- Siml.ai, developed by DimensionLab, is a web platform for AI-driven engineering that uses NVIDIA Modulus as its backbone.
- Siml.ai's Model Engineer application simplifies AI surrogate modeling for domain experts by providing powerful no-code abstractions.
- Model Engineer allows engineers to construct large datasets, convert them into a fast web format, and start training simulation models with just a few clicks.
- Siml.ai's tools and workflows leverage physics-ML to deliver AI solutions on par with industry standard simulation software but with reduced cost and time.
- To learn more about physics-ML and NVIDIA Modulus, the NVIDIA Deep Learning Institute offers a course on Introduction to Physics-Informed Machine Learning with Modulus.