Computational fluid dynamics tools, such as those used in vehicle aerodynamics, can be used to evaluate the drag produced by a designed surface which has direct implications on vehicle performance.
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The Computational Fluid Dynamics Revolution Driven by GPU Acceleration

The end of 2021 and beginning of 2022 saw the two largest commercial CFD tool vendors, Ansys and Siemens, both launch versions of their flagship CFD tools with support for GPU acceleration. 11 MIN READ
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Building Scientifically Accurate Digital Twins Using Modulus with Omniverse and AI

The latest release features Omniverse integration for interactive visualization, new AI architectures to accelerate the scientific simulations using data, and more. 4 MIN READ
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Accelerating Climate Change Mitigation with Machine Learning: The Case of Carbon Storage

We present a new generation of neural operators, named U-FNO, that empowers a novel technology for solving multiphase flow problems with superior accuracy, speed, and data efficiency. 11 MIN READ
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Accelerating Product Development with Physics-Informed Neural Networks and NVIDIA Modulus

In this post, we explore how the interactivity of a trained model using SimNet can greatly impact the product development process. 11 MIN READ
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Using Hybrid Physics-Informed Neural Networks for Digital Twins in Prognosis and Health Management

Read about a success story of a Modulus application in the use of hybrid PINNs for digital twins in prognosis and health management. 11 MIN READ
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Meet the Researcher: Dr Emanuel Gull, Theoretical and Computational Condensed Matter Physics

‘Meet the Researcher’ is a series in which we spotlight different researchers in academia who use NVIDIA technologies to accelerate their work. 4 MIN READ