AI Driven Antenna Design and Optimization for Unmatched Performance

Overview

Antenna design teams are under pressure to deliver higher performance in less time which is especially challenging when moving beyond parametric tweaks into novel, topology-level concepts (e.g., pixelated geometries). As requirements tighten and design complexity grows, engineers need an automated, robust optimization workflow that can efficiently search both parametric and topology spaces and reliably converge on high-performing antenna solutions.

In this webinar, you will learn about how combining Ansys optiSLang with Ansys HFSS enables a powerful workflow for AI-driven antenna design and optimization, leveraging advanced parametric studies, automated metamodeling, and robust optimization strategies.  This will be showcased by showcasing two classes of optimization approaches: 

• The performance of parametric antenna designs is optimized using AI/ML techniques with an automated and adaptive metamodeling approach. 
• Pixelated antenna topologies are optimized with evolutionary algorithms that produce innovative antenna geometries with unparalleled antenna characteristics. 

What Attendees Will Learn

• How to create a workflow in Ansys optiSLang that optimizes an Ansys HFSS based antenna design.
• Learn about the automated adaptive metamodeling approach optiSLang uses to optimize parametric antenna designs.
• How to arrive at innovative antenna designs by optimizing pixelated antenna topologies.

Who Should Attend

• RF/Antenna Designers

Speakers

• Arien Sligar
• Peter Krenz