iTwin

iTwin

Bentley Systems
+
+

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About

NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly.

About

It can be challenging when the data you need for digital twins is in incompatible formats and different data sources from different vendors. It really shouldn't be that hard to create, visualize and analyze digital twins. Like you, we are engineers who are passionate about solving problems, and our software has helped solve some of the most complex engineering challenges in infrastructure. Combine engineering data, reality data, and IoT data. Create an immersive experience in 3D / 4D. Gain a deeper understanding of infrastructure assets. Unlock the value of digital data and make a difference. Provide the digital capabilities that drive business success. A digital twin is a digital representation of a physical asset, process or system, which allows us to understand and model its performance. Digital twins are continuously updated with data from multiple sources – which is what makes them different from static, 3D models.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations looking for a powerful Physics Machine Learning platform

Audience

Engineers interested in an infrastructure digital twins solution to better understand and optimize asset performance

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/modulus

Company Information

Bentley Systems
Founded: 1984
United States
www.bentley.com/en/products/product-line/digital-twins/itwin

Alternatives

Alternatives

GE Digital Twin

GE Digital Twin

GE Digital
LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
COMSOL Multiphysics

COMSOL Multiphysics

Comsol Group
FEATool Multiphysics

FEATool Multiphysics

Precise Simulation
HAULSIM

HAULSIM

RPMGlobal

Categories

Categories

Integrations

No info available.

Integrations

No info available.
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