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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

Professionals wanting a tool to perform low-frequency electromagnetic field simulations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo

Company Information

Siemens
United States
plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/magnet/

Alternatives

Alternatives

SIMHEAT

SIMHEAT

TRANSVALOR
FEATool Multiphysics

FEATool Multiphysics

Precise Simulation
COMSOL Multiphysics

COMSOL Multiphysics

Comsol Group
Simcenter Femap

Simcenter Femap

Siemens Digital Industries

Categories

Categories

Integrations

PyTorch
Python
Simcenter Amesim

Integrations

PyTorch
Python
Simcenter Amesim
Claim NVIDIA PhysicsNeMo and update features and information
Claim NVIDIA PhysicsNeMo and update features and information
Claim Simcenter MAGNET and update features and information
Claim Simcenter MAGNET and update features and information