NVIDIA PhysicsNeMo was previously known as NVIDIA SimNet. Simulations have been widely used to model a variety of real-world problems in the science and engineering domains. Recent developments in AI and machine learning have led to the use of data to build surrogates for simulations, but the latest efforts have focused on the infusion of scientific laws in neural networks.
]]>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…
]]>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.
]]>NVIDIA PhysicsNeMo was previously known as NVIDIA SimNet. Today, NVIDIA announces the release of PhysicsNeMo v21.06 for general availability, enabling physics simulations across a variety of use cases. NVIDIA PhysicsNeMo is a Physics-Informed Neural Networks (PINNs) toolkit for engineers, scientists, students, and researchers who either want to get started with AI-driven physics…
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