Using Hybrid Physics-Informed Neural Networks for Digital Twins in Prognosis and Health Management – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-25T19:13:05Z http://www.open-lab.net/blog/feed/ Felipe Viana <![CDATA[Using Hybrid Physics-Informed Neural Networks for Digital Twins in Prognosis and Health Management]]> http://www.open-lab.net/blog/?p=36890 2022-08-21T23:52:35Z 2021-09-09T19:17:02Z Simulations are pervasive in every domain of science and engineering, but they often have constraints such as large computational times, limited compute...]]> Simulations are pervasive in every domain of science and engineering, but they often have constraints such as large computational times, limited compute...

NVIDIA PhysicsNeMo was previously known as NVIDIA SimNet. Simulations are pervasive in every domain of science and engineering, but they often have constraints such as large computational times, limited compute resources, tedious manual setup efforts, and the need for technical expertise. Neural networks not only accelerate simulations done by traditional solvers, but also simplify simulation��

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