JuliaHub Partners with Synopsys to Power SciML-Based Digital Twins

Rhea-AI Summary

JuliaHub announced a strategic partnership with Synopsys (NASDAQ: SNPS) on Nov 19, 2025 to integrate Dyad, JuliaHub's SciML simulation platform, into Synopsys' Ansys TwinAI digital twin software.

The integration will combine physics-based simulation and adaptive AI to create "hybrid digital twins" that improve model accuracy, enable real-time simulation and predictive analytics, and simplify cloud deployment. Synopsys said Dyad exposure will be rolled into upcoming TwinAI releases incrementally; additional feature and timing details will follow.

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Integration of Dyad enables physics-informed AI for simulation-driven innovation

CAMBRIDGE, Mass., Nov. 19, 2025 /PRNewswire/ -- JuliaHub, a leader in AI-native simulation and modeling, today announced a strategic partnership with Synopsys (NASDAQ: SNPS) to integrate Dyad, JuliaHub's flagship next-generation simulation platform, into Ansys TwinAI™ artificial intelligence-powered digital twin software, part of the Synopsys portfolio of simulation & analysis solutions. This collaboration brings together JuliaHub's expertise in AI-driven, physics-informed simulation with Synopsys digital twin technology to accelerate innovation and enhance the accuracy of hardware design and system optimization.

TwinAI empowers organizations to validate and operate digital twins in cloud environments that support advanced simulation engines, operating systems, and data streams. The platform offers capabilities to simulate digital twins, enhance model accuracy using Hybrid Analytics, and simplify cloud deployment.

Through the integration of Dyad, TwinAI will now combine physics-based simulation with adaptive AI models, allowing engineers to create 'hybrid digital twins' that are both predictive and grounded in physical laws.

"A digital twin is more than a model. It's a living, dynamic representation of a system," said Dr. Prith Banerjee, Senior Vice President at Synopsys. "By integrating Dyad and JuliaHub's SciML technology, TwinAI empowers engineers to build digital twins that evolve with data, bridging the gap between simulation and reality.

Dyad's component-based, acausal modeling and automatic equation generation make it possible to design and extend complex, multi-domain systems efficiently. Paired with Ansys simulation capabilities, the integration brings powerful new opportunities for real-time simulation, predictive analytics, and scalable cloud-based digital twin deployment.

"This partnership brings JuliaHub's scientific machine learning innovation to one of the world's most trusted simulation ecosystems," said Viral B. Shah, CEO and co-founder of JuliaHub. "Together, we're enabling the next generation of intelligent digital twins which is adaptive, explainable, and deeply rooted in physics."

The upcoming releases of Ansys TwinAI are expected to include Dyad exposure with features being released incrementally. More details will follow.

About JuliaHub

JuliaHub's mission is to empower those tackling the world's toughest scientific and technical challenges with cutting-edge tools in a seamless, secure environment. JuliaHub combines advanced mathematical computing and machine learning expertise to enable Scientific Machine Learning (SciML) techniques, Digital Twin modeling, and next-generation modeling and simulation in pharmaceutical, aerospace, automotive and other industries.

About Dyad

Dyad brings together cloud-native infrastructure, differentiable programming, and modular extensibility to support next-generation engineering workflows. Dyad enables the development of continuously improving digital models by integrating AI with Scientific Machine Learning (SciML) in a safe, engineer-in-the-loop, environment. Dyad empowers teams to deploy smarter, faster, and more reliable systems without compromising the rigor of traditional engineering for over-the-air updates, predictive maintenance and real-time performance tuning.

Learn more
www.juliahub.com
https://juliahub.com/products/dyad

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SOURCE JuliaHub

FAQ

What did Synopsys (SNPS) announce on Nov 19, 2025 about Ansys TwinAI?

Synopsys announced a partnership to integrate JuliaHub's Dyad into Ansys TwinAI to enable physics-informed, AI-driven hybrid digital twins.

How will the Dyad integration affect TwinAI's capabilities for SNPS customers?

Dyad adds component-based, acausal modeling and automatic equation generation to TwinAI, aiming to improve model accuracy, real-time simulation, and cloud deployment.

When will Dyad features appear in Ansys TwinAI for SNPS users?

Synopsys said Dyad exposure will be included in upcoming TwinAI releases and will be rolled out incrementally; no exact dates were provided.

What is a "hybrid digital twin" in the Synopsys (SNPS) and JuliaHub collaboration?

A hybrid digital twin combines physics-based simulation from Dyad with adaptive AI models to produce predictive models grounded in physical laws.

Does the partnership between JuliaHub and Synopsys (SNPS) include commercial terms or financial guidance?

No commercial terms, financial figures, or guidance were disclosed in the announcement.