Ansys 2025 R2 Release Incorporates AI, Smart Automation

Ansys, now part of Synopsys, has released 2025 R2, featuring AI-powered capabilities. R2 also features enhanced solvers, streamlined workflows, and improved engineering agility with expanded Python compatibility and on-demand cloud computing.

“Ansys simulation is the touchstone of reality when it comes to physics, bridging the theoretical with the experimental,” says Shane Emswiler, senior vice president of products at Ansys. “With over 50 years of expertise in advanced physics computation, 2025 R2 continues to push the envelope by delivering enhancements for smarter, faster, and more complex simulations."

Physics-based AI

Ansys 2025 R2 introduces Ansys Engineering Copilot—a secure virtual assistant. It delivers AI-driven assistance directly within Ansys products with a consistent user experience and instant access to a knowledge base, according to Ansys. This includes AnsysGPT—powered by Azure OpenAI technology—all Ansys websites, articles, innovation courses, a global user forum, and enables creation and tracking of support cases, Ansys notes.

2025 R2 adds AI capabilities across the Ansys portfolio to automatically create, validate, and optimize high-fidelity simulation.

• Ansys Engineering Copilot is available in Ansys Mechanical, Ansys Discovery, Ansys Fluent, Ansys HFSS, Ansys Electronics Desktop (AEDT), Ansys Scade One, Ansys Speos, Ansys Maxwell, Ansys optiSLang, and AnsysLumerical products.
• Faster results for radiation pattern calculations and more precise phased array antenna beam steering simulations with HFSS—for applications like 5G/6G, radar sensors, and satellite communications  
• 7 Ansys products feature built-in AI functionality called AI+ that make simulations more accessible, including the new Ansys Missions AI+ ODTK tool for orbital accuracy  
• Integrating optiSLang and the Ansys SimAI platform accelerates dataset creation and AI training.

Improved Data Handling and Automation 

The latest release advances digital engineering by simplifying data handling and management tasks, according to Ansys. Expanded Python compatibility adds another layer of flexibility, allowing engineers to create customized automation that accelerates workflows, boosts data management, and ensures project repeatability, Ansys adds.

• Over 40 Python libraries in the PyAnsys collection, featuring PySTK and PyChemkin, which offers a Python interface to Ansys solutions to automate workflows
• Reduce cybersecurity risks by automating threat analysis and vulnerability management in the new web-based, fully cooperative solution Ansys medini Cybersecurity SE  
• Directly connect software, safety, and simulation in one solution with the SysML v2 web-based platform Ansys System Architecture Modeler (SAM) Enterprise, delivering a comprehensive MBSE methodology  

Sources: Press materials received from the company and additional information gleaned from the company’s website.