NVIDIA PhysicsNeMoNVIDIA
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NeuralWingEmmi AI
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Related Products
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About
NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.
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About
NeuralWing is a real-time neural simulation and design optimization model for transonic aircraft aerodynamics. It is built around the largest 3D transonic wing dataset, created from 30,000 steady-state CFD simulations of a 3D wing in the transonic regime, with variations across four geometry parameters and two inflow conditions. Using Emmi’s AB-UPT surrogate model trained on this data, NeuralWing enables users to modify wing geometry, test optimizations, and maximize aerodynamic efficiency in seconds. The model supports transonic 3D wing simulation, geometry and inflow variations, real-time inference, and design-parameter optimization. Its inputs include a geometry mesh in STL format, speed, and angle of attack, while its outputs include pressure, friction, velocity fields, and integral forces such as lift and drag. Geometry meshes are created in real time from four design parameters in a differentiable manner, allowing fast exploration of design changes.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Researchers, engineers, and developers who need an open source Python AI framework to build, train, fine-tune, and deploy physics-informed machine learning models for simulation, digital twins, and real-time prediction
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Audience
Aerospace engineers and CFD researchers who need real-time neural simulation to test, optimize, and validate transonic aircraft wing designs faster
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo
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Company InformationEmmi AI
Austria
www.emmi.ai/models/neuralwing
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Categories |
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Integrations
PyTorch
Python
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