Using Physics-Informed Deep Learning for Transport in Porous Media – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-25T13:00:00Z http://www.open-lab.net/blog/feed/ Cedric G. Fraces <![CDATA[Using Physics-Informed Deep Learning for Transport in Porous Media]]> http://www.open-lab.net/blog/?p=32153 2022-08-21T23:51:45Z 2021-06-11T17:45:00Z Simulations are pervasive in every domain of science and engineering, but they are often constrained by large computational times, limited compute resources,...]]> Simulations are pervasive in every domain of science and engineering, but they are often constrained by large computational times, limited compute resources,...

NVIDIA PhysicsNeMo was previously known as NVIDIA SimNet. Simulations are pervasive in every domain of science and engineering, but they are often constrained by large computational times, limited compute resources, tedious manual setup efforts, and the need for technical expertise. NVIDIA PhysicsNeMo is a simulation toolkit that addresses these challenges with a combination of AI and physics.

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