Accelerating Electromagnetic Simulations with Machine Learning: An Introduction to EMA3D Connect
Topic:
Accelerating Electromagnetic Simulations with Machine Learning: An Introduction to EMA3D Connect
Presenter:
Parker Hranicky, EMA Software Developer II
Abstrct:
Machine learning presents an opportunity to accelerate electromagnetic simulations, utilizing data-driven physics models to achieve order-of-magnitude speedups. This allows simulations to run in seconds, compressing months of work into hours, enabling rapid iteration across thousands of designs in a single day. ML models can also allow fast and comprehensive assessments of new electromagnetic environments for existing products.
Building machine learning models and integrating them into traditional simulation workflows can be challenging. It requires not only technical expertise but also a deep understanding of the domain-specific requirements and the nuances of data handling. The newly established EMA3D Connect group bridges this gap by seamlessly integrating ML into electromagnetic simulation workflows. EMA3D Connect enhances simulation capabilities, allowing engineers to accelerate design processes, and even develop digital twins for existing designs.
In this webinar, you will hear from Parker Hranicky about how EMA3D Connect uses machine learning to accelerate the design process by building surrogate models for both new and existing products. Next, you will see how existing tools like EMC Plus and Charge Plus seamlessly integrate into this ML workflow. Finally, you will discover how the Connect team creates an end-to-end framework for generating data, training ML models, and deploying them into any environment.
