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Average Ratings 0 Ratings

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ease
features
design
support

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Description

CST Studio Suite is an advanced 3D electromagnetic (EM) analysis software designed to facilitate the design, assessment, and optimization of various electromagnetic components and systems. It offers a unified user interface that houses solvers for a diverse range of applications spanning the entire electromagnetic spectrum. These solvers can be integrated to conduct hybrid simulations, providing engineers the versatility to efficiently analyze complex systems composed of multiple components. Furthermore, collaboration with other SIMULIA products enhances the capability for EM simulation to be seamlessly incorporated into the overall design process, influencing development from the initial phases. Typical applications of EM analysis include evaluating antenna and filter performance, ensuring electromagnetic compatibility and interference compliance, assessing human exposure to EM fields, analyzing electro-mechanical interactions in motors and generators, and studying thermal impacts on high-power devices. The ability to conduct such comprehensive analyses helps drive innovation in various industries that rely on electromagnetic technology.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

PyTorch
Python

Integrations

PyTorch
Python

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dassault Systèmes

Founded

1981

Country

France

Website

www.3ds.com/products/simulia/cst-studio-suite

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/physicsnemo

Product Features

Product Features

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