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Average Ratings 0 Ratings

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ease
features
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support

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Description

NVIDIA PhysicsNeMo is a publicly available Python-based deep-learning framework designed for the creation, training, fine-tuning, and inference of physics-AI models that integrate physical principles with data, thereby enhancing simulations, developing accurate surrogate models, and facilitating near-real-time predictions in various fields such as computational fluid dynamics, structural mechanics, electromagnetics, weather forecasting, climate studies, and digital twin technologies. This framework offers powerful, GPU-accelerated capabilities along with Python APIs that are built on the PyTorch platform and distributed under the Apache 2.0 license, featuring a selection of curated model architectures that include physics-informed neural networks, neural operators, graph neural networks, and generative AI techniques, enabling developers to effectively leverage physics-based causal relationships together with empirical data for high-quality engineering modeling. Additionally, PhysicsNeMo provides comprehensive training pipelines that encompass everything from geometry ingestion to the application of differential equations, along with reference application recipes that help users quickly initiate their development workflows. This combination of features makes PhysicsNeMo an essential tool for engineers and researchers seeking to advance their work in physics-driven AI applications.

Description

samadii/em oftware that analyzes and calculates the electromagnetic field in 3d space using the Maxwell equation using vector FEM ad GPU computing. it provides electrostatics, magnetostatics as well and induction electronics, including the low-frequency and high-frequency ranges. samadii/em provides a multi-physics approach and high-performance electromagnetics simulation, with Samadii you can quickly address problems from semiconductors and displays to wireless communications, etc.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

PyTorch Yes 
Python Yes 

Integrations

PyTorch No 
Python No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/physicsnemo

Vendor Details

Company Name

Metariver Technology Co.,Ltd

Founded

2009

Country

South Korea

Website

www.metariver.kr/smdem.html

Product Features

Product Features

Computer-Aided Engineering (CAE)

CAD/CAM Compatibility No 
Finite Element Analysis Yes 
Fluid Dynamics No 
Import / Export Files Yes 
Integrated 3D Modeling Yes 
Manufacturing Process Simulation No 
Mechanical Event Simulation No 
Multibody Dynamics No 
Thermal Analysis No 

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