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Average Ratings 0 Ratings

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features
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support

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Description

Fire Dynamics Simulator (FDS) serves as a free and open-source platform for the modeling and visualization of flows influenced by fire. This computational fluid dynamics code effectively solves a variant of the Navier–Stokes equations tailored for low-speed, thermally-driven airflow, focusing particularly on the transport of smoke and heat resulting from fires. Employing large-eddy simulation, it captures the intricacies of fire-plume dynamics and can be utilized in diverse scenarios, such as those involving wind, sprinklers, ventilation systems, and various materials that affect fire behavior. Users create scenarios by utilizing text-based input files, execute the calculations within FDS, and subsequently evaluate the output data. The simulator presents results from both FDS and CFAST simulations through advanced OpenGL-based 3D graphics, incorporating scientific visualization techniques that include animated representations of smoke and tracer particles, two- and three-dimensional shaded contours, iso-surfaces, temperature distributions, and flow vectors that display both direction and intensity. In addition to these features, FDS is continually updated to enhance user experience and functionality, making it a vital tool for researchers and safety professionals alike.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

FireFlow Studio for FDS Yes 
OpenGL Yes 

Integrations

FireFlow Studio for FDS No 
OpenGL No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

NIST

Founded

1901

Country

United States

Website

pages.nist.gov/fds-smv/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/modulus

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