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features
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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

FireFlow Studio for FDS
OpenGL

Integrations

FireFlow Studio for FDS
OpenGL

Pricing Details

Free
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

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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