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Description
NVIDIA Modulus is an advanced neural network framework that integrates the principles of physics, represented through governing partial differential equations (PDEs), with data to create accurate, parameterized surrogate models that operate with near-instantaneous latency. This framework is ideal for those venturing into AI-enhanced physics challenges or for those crafting digital twin models to navigate intricate non-linear, multi-physics systems, offering robust support throughout the process. It provides essential components for constructing physics-based machine learning surrogate models that effectively merge physics principles with data insights. Its versatility ensures applicability across various fields, including engineering simulations and life sciences, while accommodating both forward simulations and inverse/data assimilation tasks. Furthermore, NVIDIA Modulus enables parameterized representations of systems that can tackle multiple scenarios in real time, allowing users to train offline once and subsequently perform real-time inference repeatedly. As such, it empowers researchers and engineers to explore innovative solutions across a spectrum of complex problems with unprecedented efficiency.
Description
SwiftComp is an innovative composite simulation software that combines multiscale and multiphysics capabilities to provide the precision of 3D finite element analysis (FEA) with the simplicity of basic engineering models. This groundbreaking tool simplifies the modeling process for engineers, allowing them to treat composites with the same ease as metals while maintaining accuracy and capturing intricate microstructural details. It offers cohesive modeling for structures that are one-dimensional (like beams), two-dimensional (such as plates or shells), and three-dimensional, effectively calculating the material properties required. Users can utilize SwiftComp independently for virtual composite testing or as an enhancement to existing structural analysis tools, thereby integrating high-fidelity composite modeling into their workflows. Additionally, SwiftComp excels in determining the optimal structural model for macroscopic analysis and includes capabilities for dehomogenization, which enables the calculation of pointwise stresses within the microstructure. It seamlessly connects with established software such as ABAQUS and ANSYS, further broadening its applicability in engineering projects. As a result, SwiftComp significantly enhances the efficiency and effectiveness of composite material modeling in various engineering applications.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/modulus
Vendor Details
Company Name
AnalySwift
Founded
2011
Country
United States
Website
analyswift.com
Product Features
Product Features
CAD
2 1/2-Axis Milling
2D Drawing
3-Axis Milling
3D Modeling
4-Axis Milling
5-Axis Milling
Civil
Collaboration
Database Connectivity
Design Analysis
Design Export
Document Management
Electrical
Hole Making
Mechanical
Mechatronics
Presentation Tools
Simulate Cycles
Spiral Output
Structural Engineering
Toolpath Simulation
User Defined Cycles