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ANITI Launches PhySimAI
ANITI Launches PhySimAI
A new collaborative research program brings together leading academic and industrial partners to develop open-source AI architectures for the next generation of engineering simulation and hybrid digital twins.
A new collaborative research program brings together leading academic and industrial partners to develop open-source AI architectures for the next generation of engineering simulation and hybrid digital twins.
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Jul 26, 2026
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7 min read
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ANITI has officially launched PhySimAI, a collaborative research program dedicated to advancing artificial intelligence for engineering simulation. The initiative aims to accelerate complex numerical simulations while ensuring the accuracy, robustness and explainability required for scientific and industrial applications.
A key focus of PhySimAI is the development of new AI architectures specifically designed for scientific computing. Rather than relying on general-purpose machine learning models, the program explores physics-informed approaches capable of integrating numerical simulations, engineering data and physical constraints into trustworthy hybrid AI models.
Another cornerstone of the initiative is its commitment to open-source development. By creating a shared software ecosystem, PhySimAI will enable researchers and industrial partners to collaborate on next-generation AI methods, accelerate innovation and facilitate technology transfer across multiple engineering disciplines.
Bringing together leading universities, research laboratories and industrial members, PhySimAI strengthens the collaboration between academia and industry to shape the future of scientific AI. For Duoverse, whose technology is built on the convergence of physics-based simulation and artificial intelligence, the initiative reflects the growing momentum behind hybrid AI as the foundation for the next generation of digital twins.
ANITI has officially launched PhySimAI, a collaborative research program dedicated to advancing artificial intelligence for engineering simulation. The initiative aims to accelerate complex numerical simulations while ensuring the accuracy, robustness and explainability required for scientific and industrial applications.
A key focus of PhySimAI is the development of new AI architectures specifically designed for scientific computing. Rather than relying on general-purpose machine learning models, the program explores physics-informed approaches capable of integrating numerical simulations, engineering data and physical constraints into trustworthy hybrid AI models.
Another cornerstone of the initiative is its commitment to open-source development. By creating a shared software ecosystem, PhySimAI will enable researchers and industrial partners to collaborate on next-generation AI methods, accelerate innovation and facilitate technology transfer across multiple engineering disciplines.
Bringing together leading universities, research laboratories and industrial members, PhySimAI strengthens the collaboration between academia and industry to shape the future of scientific AI. For Duoverse, whose technology is built on the convergence of physics-based simulation and artificial intelligence, the initiative reflects the growing momentum behind hybrid AI as the foundation for the next generation of digital twins.
Whether you're working on industrial systems, infrastructure, or smart cities, our team is ready to help you unlock the power of hybrid digital twins.
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Whether you're working on industrial systems, infrastructure, or smart cities, our team is ready to help you unlock the power of hybrid digital twins.

