NVIDIA PhysicsNeMoNVIDIA
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Simcenter MAGNETSiemens
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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
Simcenter MAGNET is a powerful electromagnetic field simulation solution for performance prediction of motors, generators, sensors, transformers, actuators, solenoids, or any component with permanent magnets or coils. Simcenter MAGNET helps you predict the performance of any component with permanent magnets or coils. Perform low-frequency electromagnetic field simulations. Simcenter MAGNET includes capabilities to accurately model the physics of electromagnetic devices. This includes the ability to model manufacturing processes, temperature-dependent material properties, magnetization and de-magnetization modeling, and vector hysteresis models among others. Simcenter MAGNET also has a built-in motion solver with a six-degree-of-freedom capability. It allows for complex problems like magnetic levitation or complex motion to be accurately modeled and analyzed. This is made possible with a unique smart re-meshing technology.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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
Professionals wanting a tool to perform low-frequency electromagnetic field simulations
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo
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Company InformationSiemens
United States
plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/magnet/
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Categories |
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Integrations
PyTorch
Supported
Python
Supported
Simcenter Amesim
Not Supported
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Integrations
PyTorch
Not Supported
Python
Not Supported
Simcenter Amesim
Supported
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