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What is PhysicsX?

The PhysicsX Platform is a cutting-edge engineering solution powered by artificial intelligence, designed to enhance design, manufacturing, and operational processes across critical industrial sectors worldwide, leading to remarkable improvements in performance, efficiency, and speed. This innovative platform integrates simulation, physics AI, data, and engineering applications into a unified software infrastructure that works harmoniously with the existing tools engineers commonly use. Tailored to support every stage of the product lifecycle—from the initial concept and design phase through to manufacturing and operational implementation—PhysicsX integrates AI deeply within the engineering workflow rather than considering it an extra feature. By enabling businesses to rapidly develop, implement, and scale a new generation of AI tools within complex engineering tasks, PhysicsX empowers teams to train and deploy physics AI directly into tangible design and manufacturing scenarios, thereby boosting both productivity and creativity. As a result, this platform signifies a revolutionary advancement toward the future landscape of engineering, paving the way for unprecedented innovations and efficiencies. The adoption of such transformative technologies is crucial for industries aiming to maintain competitiveness in an evolving market.

What is NVIDIA PhysicsNeMo?

NVIDIA's PhysicsNeMo is an open-source deep-learning framework built in Python that facilitates the design, training, fine-tuning, and inference of AI models that marry physical laws with data, thereby improving simulations, creating precise surrogate models, and enabling near-real-time predictions across a variety of domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather forecasting, climate science, and digital twin technologies. It boasts robust GPU-accelerated performance and offers Python APIs based on the PyTorch framework, all distributed under the Apache 2.0 license, featuring a variety of pre-designed model architectures, including physics-informed neural networks, neural operators, graph neural networks, and generative AI methods, allowing developers to effectively harness the causal relationships present in physics along with empirical data for superior engineering modeling. Furthermore, PhysicsNeMo includes extensive training pipelines that cover all aspects from geometry ingestion to the implementation of differential equations, in addition to providing reference application recipes that assist users in rapidly kickstarting their development processes. This unique integration of powerful features positions PhysicsNeMo as a vital resource for engineers and researchers aiming to push the boundaries of physics-based AI applications. Overall, its capabilities make it a crucial asset for anyone looking to innovate in fields that rely on the intersection of artificial intelligence and physical modeling.

Media

Media

Integrations Supported

ANSYS SpaceClaim
Abaqus
Amazon Web Services (AWS)
CATIA
Microsoft Azure
PyTorch
Python
Siemens NX
Simcenter STAR-CCM+

Integrations Supported

ANSYS SpaceClaim
Abaqus
Amazon Web Services (AWS)
CATIA
Microsoft Azure
PyTorch
Python
Siemens NX
Simcenter STAR-CCM+

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PhysicsX

Company Location

United Kingdom

Company Website

www.physicsx.ai/platform

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/physicsnemo

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Engineering

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

Categories and Features

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