Technologies

Synopsys and Ansys Technology Integration: A New Era in AI-Powered Engineering Simulation

During the Ansys Simulation World 2026 conference in Japan, Synopsys and Ansys showcased the integration of their technologies to enhance engineering design efficiency through the combination of artificial intelligence and multiphysics simulation.

2026-10-22
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Synopsys and Ansys Technology Integration: A New Era in AI-Powered Engineering Simulation

The Ansys Simulation World 2026 conference held in Japan witnessed an extensive showcase of the technical collaboration between Synopsys and Ansys, highlighting the integration of advanced simulation technologies with electronic design tools to drive engineering innovation. Anthony Dawson, Customer Strategy Director at Ansys, emphasized that this integration represents "the next frontier of innovation," enabling engineers to accelerate development processes with greater confidence.

Multiphysics Fusion

The collaboration between the two companies is based on the concept of "Multiphysics Fusion Technology," which connects Synopsys electronic design automation (EDA) tools with Ansys' precise physical simulation capabilities. This linkage allows engineers to analyze complex interactions across multiple levels of design, from micro-components to complete systems, thereby reducing the likelihood of errors and accelerating time-to-market.

Practical Industrial Applications

Three main use cases for this integration were demonstrated:

  • Optical System Design: Integrating Synopsys' OptoCompiler with Ansys' Lumerical FDTD to simulate optical devices at both the chip and system levels.
  • Materials Management: Linking Synopsys' QuantumATK with Ansys' Granta MI platform to optimize material selection in industrial applications.
  • Functional Safety: Combining functional safety management tools such as the VC Functional Safety Manager with Ansys medini analyze to ensure compliance with safety standards in complex systems.

Why This News Matters

With the increasing complexity of systems, particularly in fields such as software-defined vehicles (SDVs) and artificial intelligence, reliance on traditional simulation is no longer sufficient. This integration significantly reduces design time; NXP Semiconductors pointed out as an applied model that using these integrated tools helped reduce design time by 90 to 95%, in addition to improving power consumption efficiency and reducing design size by 17%.

This trend comes at a time when demand for artificial intelligence technologies is expected to grow rapidly, placing additional pressure on data centers and infrastructure, and making AI-powered simulation a strategic necessity to ensure the efficiency of future systems.

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MONOist Japan
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