Azore CFD
Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
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Innoslate
SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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Maya
Construct vast universes, intricate characters, and breathtaking visual effects seamlessly. Animate realistic characters using advanced animation tools that captivate audiences. Design 3D models and environments effortlessly with the user-friendly modeling features of Maya® software. Produce lifelike effects, ranging from dramatic explosions to detailed cloth simulations. A cutting-edge visual programming workspace equipped with dynamic solvers allows for swift creation of stunning effects suitable for blockbusters. Utilize the Bifrost Graph Editor to assemble personalized graphs tailored to your project's needs. Generate remarkable effects—such as snow, sand, and swirling dust storms—with pre-made graphs at your disposal. Render intricate projects effortlessly with Arnold, a powerful tool designed to tackle challenges related to complex characters, environments, and lighting. With Arnold’s integration into Maya, you can preview high-quality results instantly and make rapid adjustments. Experience time savings through Arnold’s user-friendly interface and straightforward controls, enabling you to focus on your creative vision more effectively. Ultimately, this powerful combination not only enhances productivity but also elevates the quality of your artistic endeavors.
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is a free and open-source robotics simulation tool that operates on the NVIDIA Omniverse platform, allowing developers to create, simulate, evaluate, and train AI-powered robots within highly realistic virtual settings. Utilizing Universal Scene Description (OpenUSD), it provides extensive customization options, enabling users to build tailored simulators or to incorporate the functionalities of Isaac Sim into their existing validation frameworks effortlessly. The platform facilitates three core processes: the generation of large-scale synthetic datasets for training foundational models with lifelike rendering and automatic ground truth labeling; software-in-the-loop testing that links real robot software to simulated hardware for validating control and perception systems; and robot learning facilitated by NVIDIA’s Isaac Lab, which hastens the training of robot behaviors in a simulated environment before they are deployed in the real world. Additionally, Isaac Sim features GPU-accelerated physics through NVIDIA PhysX and offers RTX-enabled sensor simulations, empowering developers to refine their robotic systems. This comprehensive toolset not only enhances the efficiency of robot development but also contributes significantly to advancing robotic AI capabilities.
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