NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.
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ENVI-met
ENVI-met is a 3D microclimate simulation software. The software is used for a wide range of applications, including urban planning, building design, and energy efficiency, considering not only one single climate parameter, but all of them. ENVI-met can simulate a variety of climate conditions, including day- and night-time temperatures, humidity, wind speed, and solar radiation in cities. The software can also simulate the effects of different building materials, such as glass and stone, on the climate of the surrounding environments. The program is used to predict the effects of urban design changes on the microclimate environment and human thermal comfort for people in cities worldwide. As climate change is having a major impact on our planet, it is essential, that more healthier and resilient cities are developed. To support these goals ENVI-met can be used to assess the potential of new buildings, green spaces, and urban planning and to make informed decisions.
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Parallel Domain Replica Sim
Parallel Domain Replica Sim enables the creation of high-fidelity, fully annotated, simulation-ready environments from users’ own captured data (photos, videos, scans). With PD Replica, you can generate near-pixel-perfect reconstructions of real-world scenes, transforming them into virtual environments that preserve visual detail and realism. PD Sim provides a Python API through which perception, machine learning, and autonomy teams can configure and run large-scale test scenarios and simulate sensor inputs (camera, lidar, radar, etc.) in either open- or closed-loop mode. These simulated sensor feeds come with full annotations, so developers can test their perception systems under a wide variety of conditions, lighting, weather, object configurations, and edge cases, without needing to collect real-world data for every scenario.
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Simcenter STAR-CCM+
Simcenter STAR-CCM+ is a multiphysics computational fluid dynamics (CFD) software for the simulation of products operating under real-world conditions. Simcenter STAR-CCM+ uniquely brings automated design exploration and optimization to the CFD simulation toolkit of every engineer. The single integrated environment includes everything from CAD, automated meshing, multiphysics CFD, sophisticated postprocessing, and design exploration. This allows engineers to efficiently explore the entire design space to make better design decisions faster. The additional insight gained by using Simcenter STAR-CCM+ to guide your design process ultimately leads to more innovative products that exceed customer expectations. Significantly improving a battery design across its whole operating range is a challenging task, and involves the simultaneous optimization of numerous parameters. Simcenter provides a complete simulation environment for the analysis and design of the electrochemical system.
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