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We present AircraftVerse, a publicly available aerial vehicle design dataset.Aircraft design encompasses different physics domains and, hence, multiplemodalities of representation. The evaluation of these cyber-physical system(CPS) designs requires the use of scientific analytical and simulation modelsranging from computer-aided design tools for structural and manufacturinganalysis, computational fluid dynamics tools for drag and lift computation,battery models for energy estimation, and simulation models for flight controland dynamics. AircraftVerse contains 27,714 diverse air vehicle designs - thelargest corpus of engineering designs with this level of complexity. Eachdesign comprises the following artifacts: a symbolic design tree describingtopology, propulsion subsystem, battery subsystem, and other design details; aSTandard for the Exchange of Product (STEP) model data; a 3D CAD design using astereolithography (STL) file format; a 3D point cloud for the shape of thedesign; and evaluation results from high fidelity state-of-the-art physicsmodels that characterize performance metrics such as maximum flight distanceand hover-time. We also present baseline surrogate models that use differentmodalities of design representation to predict design performance metrics,which we provide as part of our dataset release. Finally, we discuss thepotential impact of this dataset on the use of learning in aircraft design and,more generally, in CPS. AircraftVerse is accompanied by a data card, and it isreleased under Creative Commons Attribution-ShareAlike (CC BY-SA) license. Thedataset is hosted at https://zenodo.org/record/6525446, baseline models andcode at https://github.com/SRI-CSL/AircraftVerse, and the dataset descriptionat https://aircraftverse.onrender.com/.

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs