This site uses cookies to optimize the user experience.
Accept
NC Platform
Applications
Heat Exchanger
External Aerodynamics
Turbomachinery
Static & Explicit Structure
Other Applications
Resources
Customer Stories
Research
Webinars
Blog
View all resources
News
Press Releases
Media Coverage
Events
Who We Are
Careers
Contact Us
Request a demo
Resources
Press Releases
Nov 18, 2024
Neural Concept to Unveil Real-Time Digital Twin Capabilities at Supercomputing 24 Using NVIDIA Omniverse Blueprint for Real-time Computer-aided Engineering Digital Twins
Read more
Read more
Category
Research
Webinars
Blog
Industry
Marine
Aerospace
Automotive
Applications
Electromagnets RF and Optics
Structure fatigue and crash
Rotating machines
Internal flows and Thermal management
External flows
Reset
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Blog
Automotive
Electromagnets RF and Optics
Blog
How Many Simulations Do You Need To Train Your Predictive Model?
Research
Research
Jan 22, 2020
NeuralSampler: Euclidean Point Cloud Auto-Encoder and SamplerA
Research
Marine
External flows
Research
Hydrofoil Shapes Optimization With Geodesic Convolutional Neural Network
Blog
Marine
Internal flows and Thermal management
Blog
Mar 11, 2020
Deep Neural Network in Simulations
Blog
Automotive
Internal flows and Thermal management
Blog
AI in the Automotive Industry — Digitalization and Recent Improvements
Blog
Marine
Rotating machines
Blog
Oct 9, 2020
Future Perspectives and Current Applications of Deep Learning-based Engineering
Blog
Blog
How to feed an AI-powered predictive tool?
Blog
Aerospace
Electromagnets RF and Optics
Blog
Dec 10, 2020
Deep Learning for Simulation in HPC
Research
Automotive
External flows
Research
Sketch2Mesh: From Sketches to Generation and Edition of 3D Shapes
Blog
Aerospace
Internal flows and Thermal management
Blog
Volumetric Field Predictions: A Benchmark using Neural Concept Shape
Webinars
Automotive
Internal flows and Thermal management
Webinars
Feb 25, 2021
From CAD to Decision Metrics and Optimal Design in Real-time
Research
Aerospace
Electromagnets RF and Optics
Research
Integrating Geometric Deep-Learning models into Paraview
Previous
Load more