Uploaded July 2024 | Updated September 2026, 7 hours ago
Thermal analysis of NASA’s Curiosity Mars rover, mocked up on an artist-generated model not meant for simulation (top left). Keeping temperatures within specified thermal limits is critical to mission success—but thermal modeling is historically difficult to integrate into the design phase, due to intricate geometry not easily captured via finite element models (Figure 4). A grid-free Monte Carlo solver that supports Robin boundary conditions enables us to compute realistic temperature estimates quickly and progressively even for extremely complex geometry, without needing to volumetrically mesh the domain. Here a “deferred shading” approach provides output-sensitive evaluation, computing temperature values only at the points visible in screen space (top right). Wecan hence analyze temperature in local regions of interest, without computing a global solution (bottom row). Source: NVIDIA Research
Thermal analysis of NASA’s Curiosity Mars rover, mocked up on an artist-generated model not meant for simulation (top left). Keeping temperatures within specified thermal limits is critical to mission success—but thermal modeling is historically difficult to integrate into the design phase, due to intricate geometry not easily captured via finite element models (Figure 4). A grid-free Monte Carlo solver that supports Robin boundary conditions enables us to compute realistic temperature estimates quickly and progressively even for extremely complex geometry, without needing to volumetrically mesh the domain. Here a “deferred shading” approach provides output-sensitive evaluation, computing temperature values only at the points visible in screen space (top right). Wecan hence analyze temperature in local regions of interest, without computing a global solution (bottom row). Source: NVIDIA Research
