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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
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
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
No
2D Drawing
Yes
3-Axis Milling
No
3D Modeling
Yes
4-Axis Milling
No
5-Axis Milling
No
Civil
Yes
Collaboration
Yes
Database Connectivity
No
Design Analysis
Yes
Design Export
Yes
Document Management
Yes
Electrical
Yes
Hole Making
No
Mechanical
Yes
Mechatronics
Yes
Presentation Tools
Yes
Simulate Cycles
No
Spiral Output
No
Structural Engineering
No
Toolpath Simulation
No
User Defined Cycles
No
