EngiBench: A Framework for Data-Driven Engineering Design Research
benchmarksdata-driven engineering designdataset generationdesign manifoldsend-to-end experiment workflowsengineering design optimizationfeasibility checksgenerative modelsmachine learning algorithmsmodular librariesopen-source libraryperformance analysisphysics-based simulationssurrogate modelsunified api
Engineering design optimization seeks to automatically determine the shapes, topologies, or parameters of components that maximize performance under given conditions. This process often depends on physics-based simulations, which are difficult to install, computationally expensive, and require domain-specific expertise. To mitigate these challenges, we introduce EngiBench, the first open‐source library and datasets spanning diverse domains for data‐driven engineering design. EngiBench provides a unified API and a curated set of benchmarks