Add explainability subcard
Browse files- explainability.md +13 -0
explainability.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
| Field | Response |
|
| 2 |
+
|:-------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 3 |
+
| Intended Application & Domain: | Automotive Aerodynamics |
|
| 4 |
+
| Model Type: | Factorized Implicit Global Convolutional U-Net |
|
| 5 |
+
| Intended User: | Automotive engineers and researchers accelerating CFD predictions using AI. |
|
| 6 |
+
| Output: | Tensor (4 variables - pressure and wall shear stress components on vehicle surface). |
|
| 7 |
+
| Describe how the model works: | FIGConvUNet uses factorized implicit global convolutions in a U-Net architecture to predict aerodynamic surface fields from 3D point cloud geometry. |
|
| 8 |
+
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | N/A |
|
| 9 |
+
| Technical Limitations: | The model may perform poorly for vehicle geometries significantly different from the training data or for flow conditions outside the training regime. Physical consistency is not explicitly enforced. |
|
| 10 |
+
| Verified to have met prescribed NVIDIA quality standards: | Yes |
|
| 11 |
+
| Performance Metrics: | Relative Root Mean Square Error (RRMSE), Drag coefficient. |
|
| 12 |
+
| Potential Known Risks: | This model may inaccurately predict aerodynamic fields for vehicle designs outside the training distribution. |
|
| 13 |
+
| Licensing: | The model is governed by the [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and [Product-Specific Terms for AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/); and the use of this model is governed by the [NVIDIA Community Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-community-models-license/). |
|